Model17
Several authors
Created: 12-04-2024. Last modified: 01-05-2024.
Let us set some global options for all code chunks in this document.
knitr::opts_chunk$set(
message = FALSE, # Disable messages printed by R code chunks
warning = FALSE, # Disable warnings printed by R code chunks
echo = TRUE, # Show R code within code chunks in output
include = TRUE, # Include both R code and its results in output
eval = TRUE, # Evaluate R code chunks
cache = FALSE, # Enable caching of R code chunks for faster rendering
fig.align = "center",
out.width = "100%",
retina = 2,
error = TRUE,
collapse = TRUE
)
rm(list = ls())
set.seed(1982)1 Preprocessing
Let us now load some required libraries.
# Load required libraries
# inla.upgrade(testing = TRUE)
# remotes::install_github("inlabru-org/inlabru", ref = "devel")
# remotes::install_github("davidbolin/rspde", ref = "devel")
# remotes::install_github("davidbolin/metricgraph", ref = "devel")
# remotes::install_github("davidbolin/ngme2", ref = "devel")
library(INLA)
#inla.setOption(num.threads = 7)
library(inlabru)
library(rSPDE)
library(MetricGraph)
library(ngme2)
library(plotly)
library(dplyr)
library(sf)
library(here)Function standarize() below is later used to standardize
the covariate SpeedLimit.
standardize <- function(x) {return((x - mean(x)) / sd(x))}To keep track of the changes, we provide summaries of every new created object. Those summaries can be accessed by pressing the Show buttons below
We load the graph object sf_graph (which only contains
weights) and the data (already graph-processed).
load(here("Graph_objects/graph_construction_30_04_2024partialtomtomwhichlonglatsf.RData"))
load(here("Data_files/data_day7142128_hour13_with_no_consecutive_zeros_partialtomtom_graph_30_04_2024_processed.RData"))
data_on_graph = data_on_graph %>%
dplyr::select(-datetime)sf_graph$get_edge_lengths() %>% head() %>% capture.output() %>% grep("^Units:", ., value = TRUE)
## [1] "Units: [km]"summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data: The graph has no data!
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.000 Min. :0.000000
## 1st Qu.:6571 1st Qu.: 1.609 1st Qu.:2.000 1st Qu.:0.001655
## Median :6687 Median :14.484 Median :3.000 Median :0.003552
## Mean :7106 Mean :15.142 Mean :2.556 Mean :0.004470
## 3rd Qu.:7281 3rd Qu.:24.140 3rd Qu.:4.000 3rd Qu.:0.006153
## Max. :8969 Max. :99.779 Max. :4.000 Max. :0.019991
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:39575 Min. :-122.4
## 1st Qu.:1420 1st Qu.:0.2717 Class :character 1st Qu.:-122.4
## Median :2881 Median :0.5140 Mode :character Median :-122.4
## Mean :3091 Mean :0.5080 Mean :-122.4
## 3rd Qu.:4753 3rd Qu.:0.7493 3rd Qu.:-122.4
## Max. :6826 Max. :1.0000 Max. :-122.4
## .coord_y
## Min. :37.77
## 1st Qu.:37.78
## Median :37.79
## Mean :37.79
## 3rd Qu.:37.79
## Max. :37.81The following commands remove zero speed observations that are 1m away from the graph, and after that, they remove any speed observations that are 3m away from the graph.
to_remove = data_on_graph %>%
filter(speed == 0, .distance_to_graph > 0.001)
data_on_graph = setdiff(data_on_graph, to_remove) %>%
filter(.distance_to_graph <= 0.003)summary(to_remove)
## ID speed day .distance_to_graph .edge_number
## Min. :5701 Min. :0 Min. :1.000 Min. :0.001001 Min. : 1
## 1st Qu.:6574 1st Qu.:0 1st Qu.:2.000 1st Qu.:0.002757 1st Qu.:1382
## Median :6688 Median :0 Median :3.000 Median :0.004562 Median :2788
## Mean :7078 Mean :0 Mean :2.556 Mean :0.005454 Mean :3031
## 3rd Qu.:7277 3rd Qu.:0 3rd Qu.:4.000 3rd Qu.:0.007129 3rd Qu.:4715
## Max. :8969 Max. :0 Max. :4.000 Max. :0.019988 Max. :6812
## .distance_on_edge .group .coord_x .coord_y
## Min. :0.0000 Length:8596 Min. :-122.4 Min. :37.77
## 1st Qu.:0.3069 Class :character 1st Qu.:-122.4 1st Qu.:37.78
## Median :0.5297 Mode :character Median :-122.4 Median :37.79
## Mean :0.5170 Mean :-122.4 Mean :37.79
## 3rd Qu.:0.7354 3rd Qu.:-122.4 3rd Qu.:37.79
## Max. :0.9999 Max. :-122.4 Max. :37.81
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.00 Min. :0.0000000
## 1st Qu.:6565 1st Qu.: 9.656 1st Qu.:2.00 1st Qu.:0.0005833
## Median :6683 Median :19.312 Median :3.00 Median :0.0012615
## Mean :7115 Mean :19.383 Mean :2.55 Mean :0.0013510
## 3rd Qu.:7286 3rd Qu.:27.359 3rd Qu.:4.00 3rd Qu.:0.0021075
## Max. :8969 Max. :99.779 Max. :4.00 Max. :0.0029999
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:14535 Min. :-122.4
## 1st Qu.:1376 1st Qu.:0.2549 Class :character 1st Qu.:-122.4
## Median :2956 Median :0.5135 Mode :character Median :-122.4
## Mean :3130 Mean :0.5096 Mean :-122.4
## 3rd Qu.:4803 3rd Qu.:0.7693 3rd Qu.:-122.4
## Max. :6817 Max. :0.9999 Max. :-122.4
## .coord_y
## Min. :37.77
## 1st Qu.:37.78
## Median :37.79
## Mean :37.79
## 3rd Qu.:37.79
## Max. :37.81We add data to the graph.
sf_graph$add_observations(data = data_on_graph,
group = "day",
normalized = TRUE,
clear_obs = TRUE)sf_graph$get_data()
## # A tibble: 14,535 × 9
## ID speed day .distance_to_graph .coord_x .coord_y .edge_number
## <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 6666 0 1 0.00100 -122. 37.8 1
## 2 8941 12.9 1 0.00230 -122. 37.8 4
## 3 8768 24.1 1 0.00233 -122. 37.8 6
## 4 8929 32.2 1 0.00151 -122. 37.8 6
## 5 8965 0 1 0.000647 -122. 37.8 9
## 6 8965 19.3 1 0.00170 -122. 37.8 14
## 7 8954 22.5 1 0.00103 -122. 37.8 14
## 8 8774 19.3 1 0.00279 -122. 37.8 14
## 9 6655 30.6 1 0.00208 -122. 37.8 18
## 10 6677 14.5 1 0.000436 -122. 37.8 20
## # ℹ 14,525 more rows
## # ℹ 2 more variables: .distance_on_edge <dbl>, .group <chr>
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the values of the weights at data locations. This essentially gives us covariates from the weights.
sf_graph$edgeweight_to_data(data_loc = TRUE)sf_graph$get_data()
## # A tibble: 57,112 × 54
## ID speed day .distance_to_graph Length FRC SpeedLimit StreetName
## <int> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <chr>
## 1 NA NA NA NA 0.0361 5 40 Harrison St
## 2 NA NA NA NA 0.0361 5 40 Harrison St
## 3 NA NA NA NA 0.0361 5 40 Harrison St
## 4 6666 0 1 0.00100 0.0361 5 40 Harrison St
## 5 NA NA NA NA 0.0361 5 40 Harrison St
## 6 NA NA NA NA 0.0361 5 40 Harrison St
## 7 NA NA NA NA 0.0361 5 40 Harrison St
## 8 NA NA NA NA 0.0361 5 40 Harrison St
## 9 NA NA NA NA 0.0361 5 40 Harrison St
## 10 8941 12.9 1 0.00230 0.112 6 35 Rhode Island St
## # ℹ 57,102 more rows
## # ℹ 46 more variables: harmonicAverageSpeed <dbl>, medianSpeed <dbl>,
## # averageSpeed <dbl>, sampleSize <int>, averageTravelTime <dbl>,
## # medianTravelTime <dbl>, travelTimeRatio <dbl>, List_Number <int>,
## # `5percentile` <int>, `10percentile` <int>, `15percentile` <int>,
## # `20percentile` <int>, `25percentile` <int>, `30percentile` <int>,
## # `35percentile` <int>, `40percentile` <int>, `45percentile` <int>, …
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0When running
sf_graph$edgeweight_to_data(data_loc = TRUE), some
NA values are created (because the data is grouped). We
remove them below. We also standardize the SpeedLimit
covariate.
data = sf_graph$get_data() %>%
drop_na(-StreetName) %>% # this drops all rows with at least one NA value but without taking into account StreetName
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr::select(speed, SpeedLimit)The code of chunk below was executed only one time.
{r, eval = FALSE}
aux = data |>
rename(distance_on_edge = .distance_on_edge, edge_number = .edge_number) |>
as.data.frame() |>
dplyr::select(edge_number, distance_on_edge, .group)
distmatrixlist = list()
for (i in 1:4) {
distmatrixlist[[i]] = sf_graph$compute_geodist_PtE(PtE = aux %>%
filter(.group == as.character(i)) %>%
dplyr::select(-.group),
normalized = TRUE,
include_vertices = FALSE)
}
save(distmatrixlist, file = here("Models_output/distmatrixfixed30_04_2024.RData"))The code of chunk above was executed only one time.
summary(data)
## speed SpeedLimit .group .edge_number
## Min. : 0.000 Min. :-2.3744 Length:14535 Min. : 1
## 1st Qu.: 9.656 1st Qu.:-0.1006 Class :character 1st Qu.:1376
## Median :19.312 Median :-0.1006 Mode :character Median :2956
## Mean :19.383 Mean : 0.0000 Mean :3130
## 3rd Qu.:27.359 3rd Qu.:-0.1006 3rd Qu.:4803
## Max. :99.779 Max. : 6.6176 Max. :6817
## .distance_on_edge .coord_x .coord_y
## Min. :0.0000 Min. :-122.4 Min. :37.77
## 1st Qu.:0.2549 1st Qu.:-122.4 1st Qu.:37.78
## Median :0.5135 Median :-122.4 Median :37.79
## Mean :0.5096 Mean :-122.4 Mean :37.79
## 3rd Qu.:0.7693 3rd Qu.:-122.4 3rd Qu.:37.79
## Max. :0.9999 Max. :-122.4 Max. :37.81We add the data again but now with the new standardized
SpeedLimit covariate.
sf_graph$add_observations(data = data,
group = "day",
normalized = TRUE,
clear_obs = TRUE)sf_graph$get_data()
## # A tibble: 14,535 × 7
## speed SpeedLimit .coord_x .coord_y .edge_number .distance_on_edge .group
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>
## 1 0 -0.101 -122. 37.8 1 0.437 1
## 2 12.9 -0.617 -122. 37.8 4 0.144 1
## 3 24.1 -0.617 -122. 37.8 6 0.252 1
## 4 32.2 -0.617 -122. 37.8 6 0.658 1
## 5 0 -0.927 -122. 37.8 9 0.601 1
## 6 19.3 -0.927 -122. 37.8 14 0.0247 1
## 7 22.5 -0.927 -122. 37.8 14 0.362 1
## 8 19.3 -0.927 -122. 37.8 14 0.832 1
## 9 30.6 -0.927 -122. 37.8 18 0.358 1
## 10 14.5 -0.927 -122. 37.8 20 0.309 1
## # ℹ 14,525 more rows
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We build a mesh.
h = 0.05
sf_graph$build_mesh(h = h)summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh:
## Max h_e: 0.04999798 ; Min n_e: 0
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the value of the weights at mesh locations. This will allow us
to built matrices B.sigma and B.range below.
Again,
sf_graph$edgeweight_to_data(mesh = TRUE, add = FALSE, return = TRUE)
creates repeated information (because the data is grouped). We fix that
by filtering one group. We also standardize the SpeedLimit
covariate.
mesh = sf_graph$edgeweight_to_data(mesh = TRUE,
add = FALSE,
return = TRUE) %>%
filter(.group == 1) %>%
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr:::select.data.frame(SpeedLimit)summary(mesh)
## SpeedLimit
## Min. :-1.9800
## 1st Qu.:-0.1744
## Median :-0.1744
## Mean : 0.0000
## 3rd Qu.:-0.1744
## Max. : 5.16041.1 Stationary model
- Observe that we are considering replicates.
stat.time.ini <- Sys.time()
################################################################################
################################# STATIONARY MODEL #############################
################################################################################
rspde_model_stat <- rspde.metric_graph(sf_graph,
parameterization = "matern",
nu.upper.bound = 1.5)str(rspde_model_stat)
## List of 20
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 21507
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 21507
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 21507
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. ..$ rspde.order: int 2
## .. .. ..$ doubles :List of 11
## .. .. .. ..$ d : num 1
## .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. ..$ start.nu : num 0.75
## .. .. ..$ characters:List of 5
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. ..$ parameterization : chr "matern"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 2
## .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. ..$ smatrices : list()
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "general"
## $ theta.prior.mean : num [1:2] 0 0.223
## $ prior.nu :List of 4
## ..$ loglocation: num -0.288
## ..$ mean : num 0.75
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## $ start.nu : num 0.75
## $ integer.nu : logi FALSE
## $ start.theta : num [1:2] 0 0.223
## $ stationary : logi TRUE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi TRUE
## $ nu.upper.bound : num 1.5
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 5
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. ..@ factors : list()
## ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 7169
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"data_rspde_bru_stat <- graph_data_rspde(rspde_model_stat,
repl = ".all",
loc_name = "loc")str(data_rspde_bru_stat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:14535] 0 12.9 24.1 32.2 0 ...
## ..$ SpeedLimit : num [1:14535] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## ..$ .coord_x : num [1:14535] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:14535] 37.8 37.8 37.8 37.8 37.8 ...
## ..$ .edge_number : num [1:14535] 1 4 6 6 9 14 14 14 18 20 ...
## ..$ .distance_on_edge: num [1:14535] 0.437 0.144 0.252 0.658 0.601 ...
## ..$ .group : chr [1:14535] "1" "1" "1" "1" ...
## ..$ loc : num [1:14535, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 7169
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:14535] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:87210] 0 555 1905 1906 0 1050 1471 1472 1473 1905 ...
## .. ..@ p : int [1:86029] 0 4 11 11 11 11 12 13 15 15 ...
## .. ..@ Dim : int [1:2] 14535 86028
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:87210] 0.563 0.0495 0.3595 0.7935 0.437 ...
## .. ..@ factors : list()cmp_stat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_stat,
replicate = data_rspde_bru_stat[["repl"]])
rspde_fit_stat <-
bru(cmp_stat,
data = data_rspde_bru_stat[["data"]],
family = "T",
options = list(verbose = FALSE)
)str(rspde_fit_stat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 20.79 3.43
## ..$ sd : num [1:2] 0.333 0.257
## ..$ 0.025quant: num [1:2] 20.15 2.93
## ..$ 0.5quant : num [1:2] 20.79 3.44
## ..$ 0.975quant: num [1:2] 21.46 3.91
## ..$ mode : num [1:2] 20.79 3.49
## ..$ kld : num [1:2] 6.53e-08 7.52e-07
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 19.4 19.6 19.8 20 20.1 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 2.46 2.56 2.69 2.85 2.93 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -55545 -55541
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:14535] 0.00714 0.03726 0.03801 0.03366 0.02469 ...
## $ waic :List of 4
## ..$ waic : num 108082
## ..$ p.eff : num 2749
## ..$ local.waic : num [1:14535] 10.94 6.87 6.78 7.39 8.73 ...
## ..$ local.p.eff: num [1:14535] 0.53 0.146 0.121 0.305 0.663 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:14535] -2.063 -0.756 0 0 -1.33 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 86028 obs. of 8 variables:
## .. ..$ ID : num [1:86028] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:86028] -1.9841 -1.8236 -0.1633 0.0123 -0.1248 ...
## .. ..$ sd : num [1:86028] 5.31 4.15 5.21 6.01 6.54 ...
## .. ..$ 0.025quant: num [1:86028] -12.41 -9.98 -10.4 -11.78 -12.96 ...
## .. ..$ 0.5quant : num [1:86028] -1.9833 -1.8222 -0.1597 0.0131 -0.123 ...
## .. ..$ 0.975quant: num [1:86028] 8.43 6.32 10.05 11.8 12.7 ...
## .. ..$ mode : num [1:86028] -1.9834 -1.8222 -0.1596 0.0132 -0.1229 ...
## .. ..$ kld : num [1:86028] 1.72e-11 1.85e-10 2.40e-09 6.62e-10 9.08e-10 ...
## $ marginals.random :List of 1
## ..$ field:List of 86028
## .. ..$ index.1 : num [1:43, 1:2] -24.7 -21.8 -18.4 -14.4 -12.4 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.2 : num [1:43, 1:2] -19.66 -17.37 -14.72 -11.51 -9.98 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.3 : num [1:43, 1:2] -22.8 -19.8 -16.4 -12.3 -10.4 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.4 : num [1:43, 1:2] -25.9 -22.5 -18.7 -14 -11.8 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.7 : num [1:43, 1:2] -20.6 -17.8 -14.6 -10.7 -8.9 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.8 : num [1:43, 1:2] -17.94 -15.57 -12.83 -9.53 -7.95 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.9 : num [1:43, 1:2] -26.7 -23.3 -19.3 -14.5 -12.3 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.10 : num [1:43, 1:2] -26.4 -23 -19 -14.2 -12 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.11 : num [1:43, 1:2] -34.8 -30.3 -25 -18.7 -15.7 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.12 : num [1:43, 1:2] -39.3 -34.1 -28.2 -21 -17.6 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.13 : num [1:43, 1:2] -23.7 -20.7 -17.3 -13.3 -11.3 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.15 : num [1:43, 1:2] -22.8 -19.9 -16.5 -12.4 -10.5 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.20 : num [1:43, 1:2] -32.1 -27.9 -23 -17.2 -14.4 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.21 : num [1:43, 1:2] -40 -34.7 -28.7 -21.4 -17.9 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.22 : num [1:43, 1:2] -31.5 -27.3 -22.5 -16.7 -13.9 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. ..$ index.24 : num [1:43, 1:2] -32.5 -28.3 -23.4 -17.5 -14.7 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.26 : num [1:43, 1:2] -22.55 -19.5 -15.96 -11.68 -9.63 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. ..$ index.28 : num [1:43, 1:2] -26.7 -23.3 -19.2 -14.4 -12.1 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.30 : num [1:43, 1:2] -19.15 -16.03 -12.43 -8.07 -5.98 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.33 : num [1:43, 1:2] -39.6 -34.6 -28.7 -21.7 -18.3 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.34 : num [1:43, 1:2] -25.7 -22.5 -18.9 -14.5 -12.4 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.36 : num [1:43, 1:2] -32.2 -28 -23.1 -17.3 -14.5 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.37 : num [1:43, 1:2] -43.6 -38 -31.5 -23.6 -19.9 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## ..$ stdev.corr.negative : num [1:5] 1.377 1.079 0.79 0.986 0.816
## ..$ stdev.corr.positive : num [1:5] 0.726 0.927 1.265 1.014 1.226
## ..$ to.theta :List of 5
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## ..$ from.theta :List of 5
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
## ..$ opt.directions : num [1:5, 1:5] -0.3678 -0.3052 -0.0674 -0.4073 0.7753 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : chr [1:5] "theta:1" "theta:2" "theta:3" "theta:4" ...
## .. .. ..$ : chr [1:5] "dir:1" "dir:2" "dir:3" "dir:4" ...
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 14535
## .. ..$ npred : int 86030
## .. ..$ mnpred : int 100565
## .. ..$ Npred : int 14535
## .. ..$ n : int 86030
## .. ..$ nz : int 656168
## .. ..$ prior_nz : int 542050
## .. ..$ ntheta : int 5
## .. ..$ nconfig : int 27
## .. ..$ offsets : num [1:100565] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
## .. .. ..$ start : int [1:5] 1 14536 100566 186594 186595
## .. .. ..$ length: int [1:5] 14535 86030 86028 1 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:86030] 2 3 4 5 6 7 8 9 10 11 ...
## .. .. .. ..@ j : int [1:86030] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:86030] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:116238] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:116238] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 14535 86030
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:116238] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 27
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.47 3.22 -1.55 -2.84
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -4.6
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:86030] -2.1008 -1.9225 -0.1592 0.0308 -0.1202 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.088 -1.91 -0.157 0.034 -0.118 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0456 -0.0107 0.1081 0.1021 -0.037 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 29.3 8 17.7 29 22.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0338 -0.0162 0.0716 0.1021 -0.037 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2057 -0.0329 0.0131 0.0677 -0.1335 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.68 15.01 23.28 27.7 9.46 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.782 3.47 -2.088 -1.91 -0.157 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.38 2.47 3.2 -1.54 -2.85
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.56
## .. .. .. ..$ log.posterior.orig: num -2.29
## .. .. .. ..$ mean : num [1:86030] -2.0198 -1.8945 -0.1633 0.0281 -0.1229 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.007 -1.882 -0.1606 0.0313 -0.1208 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0471 -0.0114 0.1114 0.1061 -0.0385 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 28.4 7.77 17.14 28.04 21.86 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0351 -0.0168 0.0743 0.1061 -0.0385 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2085 -0.0337 0.0138 0.0698 -0.1368 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.75 15.03 23.25 27.63 9.57 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.774 3.484 -2.007 -1.882 -0.161 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.43 2.47 3.25 -1.55 -2.83
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.5
## .. .. .. ..$ log.posterior.orig: num -4.24
## .. .. .. ..$ mean : num [1:86030] -2.2646 -1.9778 -0.1513 0.0361 -0.115 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.2514 -1.9649 -0.1488 0.0393 -0.1129 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.04291 -0.00957 0.10204 0.09446 -0.0342 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 31.23 8.44 18.83 31.05 24.13 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0313 -0.0149 0.0663 0.0945 -0.0342 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2003 -0.0314 0.012 0.0639 -0.1274 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.54 14.97 23.33 27.83 9.24 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.796 3.443 -2.251 -1.965 -0.149 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.43 2.47 3.19 -1.54 -2.85
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -6.11
## .. .. .. ..$ log.posterior.orig: num -2.84
## .. .. .. ..$ mean : num [1:86030] -1.8711 -1.8536 -0.1667 0.0242 -0.1242 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.8588 -1.8415 -0.164 0.0273 -0.122 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0476 -0.012 0.112 0.109 -0.0396 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 27.99 7.68 16.9 27.37 21.36 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.036 -0.0173 0.0763 0.109 -0.0396 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2019 -0.0331 0.0145 0.0697 -0.1345 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.85 15.09 23.16 27.41 9.88 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.753 3.525 -1.859 -1.842 -0.164 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.36 2.47 3.25 -1.55 -2.83
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -6.51
## .. .. .. ..$ log.posterior.orig: num -3.24
## .. .. .. ..$ mean : num [1:86030] -2.3796 -1.9971 -0.1501 0.0384 -0.1153 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.366 -1.9839 -0.1475 0.0416 -0.1132 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.04348 -0.00939 0.104 0.0945 -0.03422 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 30.96 8.39 18.67 31.06 24.15 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0313 -0.0149 0.0664 0.0945 -0.0342 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2101 -0.0326 0.0116 0.0654 -0.132 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.47 14.91 23.4 28.02 8.97 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.814 3.404 -2.366 -1.984 -0.147 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.39 2.82 3.12 -1.82 -2.78
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.78
## .. .. .. ..$ log.posterior.orig: num -4.51
## .. .. .. ..$ mean : num [1:86030] -2.6181 -2.0246 -0.0543 0.0726 -0.0392 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.6095 -2.0162 -0.0534 0.0738 -0.0385 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.04418 -0.00776 0.10419 0.09173 -0.03177 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 28.64 6.21 16.36 25.62 18.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0319 -0.0139 0.0672 0.0917 -0.0318 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2069 -0.0324 0.0167 0.0672 -0.1267 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.22 15.08 22.99 27.52 9.18 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7185 3.7401 -2.6095 -2.0162 -0.0534 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.41 2.25 3.27 -1.37 -2.88
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -6.35
## .. .. .. ..$ log.posterior.orig: num -3.08
## .. .. .. ..$ mean : num [1:86030] -1.723 -1.8103 -0.2761 -0.0533 -0.2141 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.707 -1.795 -0.272 -0.048 -0.21 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0474 -0.0129 0.1124 0.1104 -0.0407 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 29.28 8.98 18.25 30.69 24.61 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0358 -0.0178 0.076 0.1104 -0.0407 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2043 -0.0342 0.011 0.0692 -0.1389 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.03 15 23.45 27.77 9.67 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.823 3.3 -1.707 -1.795 -0.272 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.22 3.12 -1.81 -2.76
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.27
## .. .. .. ..$ log.posterior.orig: num -4
## .. .. .. ..$ mean : num [1:86030] -2.3425 -1.8075 -0.0537 0.0775 -0.0394 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.3302 -1.7952 -0.0521 0.0793 -0.0383 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.04383 -0.00906 0.10447 0.09257 -0.0321 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 28.77 6.43 16.32 25.51 18.65 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0322 -0.014 0.0677 0.0926 -0.0321 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2033 -0.0339 0.017 0.0701 -0.132 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.59 14.95 23.09 27.79 8.93 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.693 3.7702 -2.3302 -1.7952 -0.0521 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.71 3.31 -1.29 -2.92
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -6.58
## .. .. .. ..$ log.posterior.orig: num -3.31
## .. .. .. ..$ mean : num [1:86030] -1.853 -2.017 -0.359 -0.128 -0.279 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.841 -2.005 -0.355 -0.124 -0.276 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0488 -0.0128 0.1146 0.1143 -0.0425 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 29.08 9.26 18.52 31.66 25.71 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0367 -0.0186 0.0781 0.1143 -0.0425 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2084 -0.0336 0.0101 0.067 -0.1362 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.8 15.2 23.4 27.5 10 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.865 3.191 -1.841 -2.005 -0.355 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.52 2.76 -1.02 -1.52
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -58.3
## .. .. .. ..$ log.posterior.orig: num -55.1
## .. .. .. ..$ mean : num [1:86030] -0.79393 -1.10852 -0.13386 -0.00343 -0.09849 ...
## .. .. .. ..$ improved.mean : num [1:86030] -0.78772 -1.10244 -0.13214 -0.00149 -0.09703 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.087 -0.0315 0.1958 0.2299 -0.0844 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 16.8 5.94 11.1 14.12 11.24 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.075 -0.0369 0.1593 0.2299 -0.0844 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2117 -0.0356 0.0186 0.0834 -0.1542 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.6 15.2 22.9 26.5 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.733 3.424 -0.788 -1.102 -0.132 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.43 3.52 -1.89 -3.72
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -11.5
## .. .. .. ..$ log.posterior.orig: num -8.26
## .. .. .. ..$ mean : num [1:86030] -1.8986 -1.9129 -0.192 0.0164 -0.143 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.885 -1.899 -0.189 0.02 -0.14 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0468 -0.0115 0.1106 0.1059 -0.0385 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 28 7.35 16.61 28.43 22.23 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.035 -0.0168 0.0741 0.1059 -0.0385 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2065 -0.0346 0.015 0.0719 -0.1384 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.87 15.1 23.16 27.44 9.84 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.743 3.562 -1.885 -1.899 -0.189 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.5 3.11 -1.13 -2.29
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -3.78
## .. .. .. ..$ log.posterior.orig: num -0.511
## .. .. .. ..$ mean : num [1:86030] -1.722 -1.796 -0.264 -0.061 -0.205 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.7099 -1.784 -0.2606 -0.0569 -0.2023 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0511 -0.0142 0.1198 0.1212 -0.0449 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 28.28 9.36 18.25 28.64 23.09 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0392 -0.0196 0.0833 0.1212 -0.0449 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2072 -0.0332 0.0103 0.0676 -0.1373 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.91 15.04 23.46 27.67 9.85 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.861 3.189 -1.71 -1.784 -0.261 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.24 3.36 -1.75 -3.21
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -6.56
## .. .. .. ..$ log.posterior.orig: num -3.29
## .. .. .. ..$ mean : num [1:86030] -2.2521 -1.9185 -0.1387 0.0506 -0.1053 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.2365 -1.9031 -0.1358 0.0542 -0.1029 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0423 -0.00944 0.10147 0.09182 -0.03307 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 31.02 7.97 18.28 30.91 23.82 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0306 -0.0144 0.0648 0.0918 -0.0331 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2036 -0.0331 0.013 0.0669 -0.1322 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.7 14.9 23.3 28 9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.769 3.523 -2.236 -1.903 -0.136 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.39 2.72 3.38 -1.72 -3.23
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.75
## .. .. .. ..$ log.posterior.orig: num -2.48
## .. .. .. ..$ mean : num [1:86030] -2.4363 -2.1196 -0.1615 0.0327 -0.1218 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.4246 -2.1081 -0.1593 0.0354 -0.12 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.043 -0.00881 0.1022 0.09311 -0.03371 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 30.8 8 18.4 31.5 24.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0309 -0.0147 0.0654 0.0931 -0.0337 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2068 -0.032 0.0125 0.0646 -0.1287 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.4 15.03 23.29 27.75 9.29 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.799 3.457 -2.425 -2.108 -0.159 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.39 2.54 2.95 -1.56 -2.17
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -3.91
## .. .. .. ..$ log.posterior.orig: num -0.646
## .. .. .. ..$ mean : num [1:86030] -2.226 -1.7713 -0.0546 0.0664 -0.0406 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.2169 -1.7623 -0.0534 0.0679 -0.0397 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0485 -0.0106 0.1137 0.1059 -0.037 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 26.9 6.6 15.8 23.1 17.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0365 -0.0162 0.0769 0.1059 -0.037 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2064 -0.0324 0.0156 0.0683 -0.1309 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.49 14.99 23.11 27.64 9.24 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.73 3.6522 -2.2169 -1.7623 -0.0534 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.43 2.46 3.42 -1.51 -3.29
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.2
## .. .. .. ..$ log.posterior.orig: num -3.94
## .. .. .. ..$ mean : num [1:86030] -1.7658 -1.9377 -0.3143 -0.0818 -0.2419 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.7514 -1.9234 -0.31 -0.0769 -0.2383 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0471 -0.0125 0.1111 0.1098 -0.0406 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 29.25 8.79 18.15 31.45 25.31 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0355 -0.0177 0.0754 0.1098 -0.0406 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2024 -0.0336 0.0114 0.068 -0.1357 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.96 15.12 23.37 27.53 9.98 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.82 3.32 -1.75 -1.92 -0.31 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.43 2.28 2.99 -1.35 -2.23
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.55
## .. .. .. ..$ log.posterior.orig: num -2.28
## .. .. .. ..$ mean : num [1:86030] -1.6979 -1.6417 -0.1265 0.0387 -0.0949 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.6861 -1.6302 -0.1241 0.0416 -0.093 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0511 -0.0139 0.1196 0.1191 -0.0431 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 26.57 7.67 16.28 24.42 18.95 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0396 -0.0188 0.0838 0.1191 -0.0431 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2012 -0.0331 0.0144 0.0707 -0.1368 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.98 15 23.21 27.53 9.78 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.753 3.501 -1.686 -1.63 -0.124 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.42 2.76 3.01 -1.32 -2.26
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.44
## .. .. .. ..$ log.posterior.orig: num -2.17
## .. .. .. ..$ mean : num [1:86030] -1.8704 -1.816 -0.1453 0.0242 -0.1085 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.8615 -1.8073 -0.1434 0.0264 -0.107 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0513 -0.0131 0.1193 0.1192 -0.0433 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 26.76 7.81 16.6 25.14 19.64 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0394 -0.0189 0.0835 0.1192 -0.0433 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2045 -0.0319 0.0138 0.068 -0.1328 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.7 15.1 23.2 27.3 10 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.784 3.436 -1.861 -1.807 -0.143 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.42 2.5 3.27 -1.94 -3.17
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.23
## .. .. .. ..$ log.posterior.orig: num -3.97
## .. .. .. ..$ mean : num [1:86030] -2.4531 -1.9699 -0.0673 0.0749 -0.0484 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.4419 -1.9587 -0.0658 0.0767 -0.0473 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.04283 -0.00826 0.10158 0.0901 -0.03141 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 29.3 6.4 16.6 26.8 19.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0312 -0.0137 0.0656 0.0901 -0.0314 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2012 -0.0329 0.017 0.0682 -0.1278 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.44 15.06 22.99 27.54 9.23 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.6972 3.7724 -2.4419 -1.9587 -0.0658 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.38 2.46 3.43 -1.51 -3.29
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.97
## .. .. .. ..$ log.posterior.orig: num -4.7
## .. .. .. ..$ mean : num [1:86030] -1.884 -1.969 -0.313 -0.08 -0.243 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.869 -1.954 -0.309 -0.075 -0.239 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0471 -0.0121 0.1116 0.1085 -0.0401 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 29.3 8.8 18.2 31.8 25.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0351 -0.0175 0.0745 0.1085 -0.0401 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2098 -0.0345 0.0108 0.0689 -0.1391 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.88 15.06 23.44 27.71 9.73 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.836 3.284 -1.869 -1.954 -0.309 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.38 2.28 3 -1.35 -2.23
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.55
## .. .. .. ..$ log.posterior.orig: num -4.29
## .. .. .. ..$ mean : num [1:86030] -1.7851 -1.6591 -0.1246 0.0411 -0.0945 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.773 -1.6472 -0.1221 0.0441 -0.0924 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0512 -0.0136 0.1204 0.1183 -0.0428 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 26.59 7.69 16.3 24.59 19.07 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0393 -0.0187 0.0832 0.1183 -0.0428 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2083 -0.034 0.0139 0.0717 -0.1403 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.92 14.94 23.28 27.7 9.54 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.77 3.465 -1.773 -1.647 -0.122 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.37 2.76 3.02 -1.32 -2.25
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.49
## .. .. .. ..$ log.posterior.orig: num -4.23
## .. .. .. ..$ mean : num [1:86030] -1.975 -1.8442 -0.1435 0.0265 -0.1082 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.9659 -1.8354 -0.1416 0.0288 -0.1067 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.0515 -0.0128 0.1203 0.1184 -0.043 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 26.76 7.83 16.61 25.31 19.77 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0391 -0.0188 0.0829 0.1184 -0.043 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2123 -0.0328 0.0133 0.069 -0.1364 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.65 15.05 23.24 27.52 9.76 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.801 3.399 -1.966 -1.835 -0.142 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.37 2.5 3.27 -1.94 -3.17
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.9
## .. .. .. ..$ log.posterior.orig: num -4.64
## .. .. .. ..$ mean : num [1:86030] -2.5637 -1.9899 -0.0657 0.0771 -0.0479 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.5522 -1.9785 -0.0642 0.0789 -0.0468 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.04303 -0.00801 0.10258 0.08943 -0.03118 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 29.3 6.41 16.63 27 19.88 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 0.0309 -0.0136 0.0651 0.0894 -0.0312 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2086 -0.0337 0.0167 0.069 -0.1309 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 17.37 15.01 23.07 27.72 8.98 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.7135 3.7401 -2.5522 -1.9785 -0.0642 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.41 2.5 3.06 -1.12 -2.31
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.11
## .. .. .. ..$ log.posterior.orig: num -5.85
## .. .. .. ..$ mean : num [1:86030] -1.4334 -1.6957 -0.2795 -0.0743 -0.2148 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.4219 -1.6843 -0.276 -0.0703 -0.2117 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. ..- attr(*, "dimnames")=List of 2
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## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
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## .. .. .. ..$ log.posterior.orig: num -5.39
## .. .. .. ..$ mean : num [1:86030] -1.898 -1.812 -0.151 0.041 -0.113 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.8831 -1.7981 -0.1484 0.0444 -0.1103 ...
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## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.732 3.593 -1.883 -1.798 -0.148 ...
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## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
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## .. .. .. ..$ log.posterior.orig: num -4.91
## .. .. .. ..$ mean : num [1:86030] -2.0805 -2.0095 -0.1743 0.0222 -0.1293 ...
## .. .. .. ..$ improved.mean : num [1:86030] -2.0694 -1.9986 -0.1721 0.0248 -0.1275 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. ..- attr(*, "dimnames")=List of 2
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## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.762 3.529 -2.069 -1.999 -0.172 ...
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
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## .. .. .. ..$ log.posterior.orig: num -7.46
## .. .. .. ..$ mean : num [1:86030] -1.9536 -1.6938 -0.0617 0.0621 -0.0446 ...
## .. .. .. ..$ improved.mean : num [1:86030] -1.945 -1.6853 -0.0605 0.0635 -0.0437 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ x : num [1:656168] 0.0523 -0.0125 0.1218 0.1177 -0.0413 ...
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## .. .. .. .. .. ..@ x : num [1:656168] 24.71 6.13 14.52 21.08 15.66 ...
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. ..$ max.log.posterior: num -55533
## ..$ nfunc : num 3568
## ..$ warnings : chr "Stupid local search strategy used: This is usually a sign of a ill-defined model and/or non-informative data."
## ..$ opt.trace :List of 3
## .. ..$ f : Named num [1:672] 584444 584358 584272 583957 299017 ...
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## .. .. ..- attr(*, "names")= chr [1:672] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ theta: num [1:672, 1:5] 3.03e-08 3.03e-08 0.00 3.03e-08 -8.82e-01 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : chr [1:672] "iter1" "iter2" "iter3" "iter4" ...
## .. .. .. ..$ : chr [1:5] "theta1" "theta2" "theta3" "theta4" ...
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## ..$ linkfunctions :List of 2
## .. ..$ names: chr "identity"
## .. ..$ link : int [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ family : int [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## $ dic :List of 14
## ..$ dic : num 107952
## ..$ p.eff : num 3057
## ..$ mean.deviance : num 104895
## ..$ deviance.mean : num 101838
## ..$ dic.sat : num -97285
## ..$ mean.deviance.sat: num -1e+05
## ..$ deviance.mean.sat: num -112529
## ..$ family.dic : num 107952
## ..$ family.dic.sat : num -88157
## ..$ family.p.eff : num 3057
## ..$ family : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ local.dic : num [1:14535] 10.45 7.2 7.14 7.57 8.32 ...
## ..$ local.dic.sat : num [1:14535] 4.321 1.071 -0.111 -26.758 2.191 ...
## ..$ local.p.eff : num [1:14535] 0.0703 0.5045 0.5065 0.572 0.4258 ...
## $ mode :List of 5
## ..$ theta : Named num [1:5] -4.4 2.47 3.22 -1.55 -2.84
## .. ..- attr(*, "names")= chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## ..$ x : num [1:186595] 17.68 15.02 23.29 27.7 9.47 ...
## ..$ theta.tags : chr [1:5] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## ..$ mode.status : num 0
## ..$ log.posterior.mode: num -55533
## $ joint.hyper :'data.frame': 24 obs. of 7 variables:
## ..$ log precision for the student-t observations: num [1:24] -4.4 -4.38 -4.43 -4.43 -4.36 ...
## ..$ dof_intern for student-t : num [1:24] 2.47 2.47 2.47 2.47 2.47 ...
## ..$ Theta1 for field : num [1:24] 3.22 3.2 3.25 3.19 3.25 ...
## ..$ Theta2 for field : num [1:24] -1.55 -1.54 -1.55 -1.54 -1.55 ...
## ..$ Theta3 for field : num [1:24] -2.84 -2.85 -2.83 -2.85 -2.83 ...
## ..$ Log posterior density : num [1:24] -55546 -55548 -55550 -55548 -55549 ...
## ..$ Total integration weight (log.dens included): num [1:24] 0.12324 0.04697 0.00672 0.02714 0.01814 ...
## $ nhyper : int 5
## $ version :List of 2
## ..$ inla.call: chr "GITCOMMIT [dd38f0f7c6eb72df31ce7dd489d9352e91ffe0df - Thu Apr 25 18:31:00 2024 +0300]"
## ..$ R.INLA : Named chr "24.04.25-1"
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## $ Q : NULL
## $ graph : NULL
## $ ok : logi TRUE
## $ cpu.intern : chr [1:16] "Wall-clock time used on [/tmp/RtmpvbtDyv/file22194527a3ad6/Model.ini]" "Preparations : 0.230 seconds" "Approx inference (stage1): 971.364 seconds" "Approx inference (stage2): 0.002 seconds" ...
## $ cpu.used : Named num [1:4] 0.443 973.43 6.918 980.791
## ..- attr(*, "names")= chr [1:4] "Pre" "Running" "Post" "Total"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. .. ..$ output.name.intern: chr "dof_intern for student-t"
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## .. .. ..$ label : chr "SpeedLimit"
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## $ .args :List of 30
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## ..$ family : chr "t"
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## .. ..$ BRU.E : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.weights : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.scale : num [1:14535] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.offset : num [1:14535] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ Intercept : num [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.group : int [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.repl : int [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit : num [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.group : int [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.repl : int [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:86030] NA NA 1 2 3 4 5 6 7 8 ...
## .. ..$ field.group : int [1:86030] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:86030] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU_Intercept_main_model : chr "linear"
## .. ..$ BRU_Intercept_values : num 1
## .. ..$ BRU_SpeedLimit_main_model: chr "linear"
## .. ..$ BRU_SpeedLimit_values : num 1
## .. ..$ BRU_field_main_model :List of 20
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## .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
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## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
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## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
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## .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. ..$ debug : logi FALSE
## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
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## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
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## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
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## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
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## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
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## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
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## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
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## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
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## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
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## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta22 :List of 11
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## .. .. .. ..$ name : chr "beta22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta25 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta27 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta28 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta29 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta30 :List of 11
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## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
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## .. .. ..$ theta31 :List of 11
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## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
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## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta34 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
## .. .. .. ..$ hyperid : num 103037
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
## .. .. .. ..$ hyperid : num 103038
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
## .. .. .. ..$ hyperid : num 103039
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
## .. .. .. ..$ hyperid : num 103040
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
## .. .. .. ..$ hyperid : num 103041
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
## .. .. .. ..$ hyperid : num 103042
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta43 :List of 11
## .. .. .. ..$ hyperid : num 103043
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
## .. .. .. ..$ hyperid : num 103044
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta45 :List of 11
## .. .. .. ..$ hyperid : num 103045
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta46 :List of 11
## .. .. .. ..$ hyperid : num 103046
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta47 :List of 11
## .. .. .. ..$ hyperid : num 103047
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta48 :List of 11
## .. .. .. ..$ hyperid : num 103048
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta49 :List of 11
## .. .. .. ..$ hyperid : num 103049
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta50 :List of 11
## .. .. .. ..$ hyperid : num 103050
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ output.name : chr "beta[57] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[59] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[59] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[60] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[61] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[61] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
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## .. .. .. ..$ output.name : chr "beta[66] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta68 :List of 11
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## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta72 :List of 11
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## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta73 :List of 11
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## .. .. .. ..$ name : chr "beta73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta74 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta75 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
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## .. .. ..$ theta76 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta77 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta78 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta81 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta82 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta83 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta84 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta85 :List of 11
## .. .. .. ..$ hyperid : num 103085
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
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## .. .. .. ..$ Intercept.repl : int [1:86030] 1 NA NA NA NA NA NA NA NA NA ...
## .. .. .. ..$ SpeedLimit : num [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. .. .. ..$ SpeedLimit.group: int [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. .. .. ..$ SpeedLimit.repl : int [1:86030] NA 1 NA NA NA NA NA NA NA NA ...
## .. .. .. ..$ field : int [1:86030] NA NA 1 2 3 4 5 6 7 8 ...
## .. .. .. ..$ field.group : int [1:86030] NA NA 1 1 1 1 1 1 1 1 ...
## .. .. .. ..$ field.repl : int [1:86030] NA NA 1 1 1 1 1 1 1 1 ...
## .. .. ..$ nrow : int 86030
## .. .. ..$ ncol : Named int [1:9] 1 1 1 1 1 1 1 1 1
## .. .. .. ..- attr(*, "names")= chr [1:9] "Intercept" "Intercept.group" "Intercept.repl" "SpeedLimit" ...
## .. .. ..$ names:List of 9
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## .. .. .. ..$ Intercept.group : chr "Intercept.group"
## .. .. .. ..$ Intercept.repl : chr "Intercept.repl"
## .. .. .. ..$ SpeedLimit : chr "SpeedLimit"
## .. .. .. ..$ SpeedLimit.group: chr "SpeedLimit.group"
## .. .. .. ..$ SpeedLimit.repl : chr "SpeedLimit.repl"
## .. .. .. ..$ field : chr "field"
## .. .. .. ..$ field.group : chr "field.group"
## .. .. .. ..$ field.repl : chr "field.repl"
## .. .. ..$ index:List of 3
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## .. .. .. ..$ : int 2
## .. .. .. ..$ : int [1:86028] 3 4 5 6 7 8 9 10 11 12 ...
## .. .. ..- attr(*, "class")= chr "inla.data.stack.info"
## .. ..- attr(*, "class")= chr "inla.data.stack"
## ..$ track :'data.frame': 86036 obs. of 6 variables:
## .. ..$ effect : chr [1:86036] "Intercept" "SpeedLimit" "field" "field" ...
## .. ..$ index : num [1:86036] 1 1 1 2 3 4 5 6 7 8 ...
## .. ..$ iteration : num [1:86036] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ mode : num [1:86036] 20.818 3.461 -2.101 -1.922 -0.159 ...
## .. ..$ sd : num [1:86036] 0.333 0.257 5.312 4.154 5.208 ...
## .. ..$ new_linearisation: num [1:86036] 0 0 0 0 0 0 0 0 0 0 ...
## ..$ timings :'data.frame': 2 obs. of 3 variables:
## .. ..$ Task : chr [1:2] "Preprocess" "Run inla()"
## .. ..$ Iteration: num [1:2] 1 1
## .. ..$ Time : 'difftime' num [1:2] 1.26865767637889 16.3479248205821
## .. .. ..- attr(*, "units")= chr "mins"
## $ bru_timings :'data.frame': 3 obs. of 3 variables:
## ..$ Task : chr [1:3] "Preprocess" "Preprocess" "Run inla()"
## ..$ Iteration: num [1:3] 0 1 1
## ..$ Time : 'difftime' num [1:3] 0.0790383815765381 76.1194605827332 980.875489234924
## .. ..- attr(*, "units")= chr "secs"
## $ bru_info :List of 6
## ..$ method : chr "bru"
## ..$ model :List of 2
## .. ..$ effects:List of 3
## .. .. ..$ Intercept :List of 12
## .. .. .. ..$ label : chr "Intercept"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : num 1
## .. .. .. .. .. ..$ label : chr "Intercept"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper : list()
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "linear"
## .. .. .. .. ..$ type : chr "linear"
## .. .. .. .. ..$ n : int 1
## .. .. .. .. ..$ values : num 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "Intercept.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "Intercept.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x654e5c5fd128>
## .. .. .. ..$ fcall : language "f"(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
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## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ SpeedLimit:List of 12
## .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol SpeedLimit
## .. .. .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper : list()
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "linear"
## .. .. .. .. ..$ type : chr "linear"
## .. .. .. .. ..$ n : int 1
## .. .. .. .. ..$ values : num 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x654e5c5b5a80>
## .. .. .. ..$ fcall : language "f"(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ field :List of 12
## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol loc
## .. .. .. .. .. ..$ label : chr "field"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 20
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 21507
## .. .. .. .. ..$ values : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_stat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x654e5c574538>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 21507
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 21507
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 86028
## .. .. .. .. .. .. ..$ n_inla : num 86028
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 86028 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 86028
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "T"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x654e5cca5120>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:14535] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:14535] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ SpeedLimit : num [1:14535] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## .. .. .. ..$ .coord_x : num [1:14535] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:14535] 37.8 37.8 37.8 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:14535] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..$ .distance_on_edge: num [1:14535] 0.437 0.144 0.252 0.658 0.601 ...
## .. .. .. ..$ .group : chr [1:14535] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:14535, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "T"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9004"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.04.25-1"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"stat.time.fin <- Sys.time()
print(stat.time.fin - stat.time.ini)## Time difference of 17.73057 minssummary(rspde_fit_stat)## inlabru version: 2.10.1.9004
## INLA version: 24.04.25-1
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_stat[["repl"]])
## Likelihoods:
## Family: 'T'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.443, Running = 973, Post = 6.92, Total = 981
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 20.791 0.333 20.148 20.786 21.461 20.786 0
## SpeedLimit 3.434 0.257 2.930 3.442 3.911 3.488 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## precision for the student-t observations 0.012 0.000 0.012 0.012
## degrees of freedom for student-t 14.308 1.905 11.168 14.107
## Theta1 for field 3.167 0.165 2.819 3.175
## Theta2 for field -1.518 0.217 -1.931 -1.523
## Theta3 for field -2.698 0.453 -3.515 -2.721
## 0.975quant mode
## precision for the student-t observations 0.013 0.012
## degrees of freedom for student-t 18.641 13.598
## Theta1 for field 3.466 3.212
## Theta2 for field -1.077 -1.543
## Theta3 for field -1.738 -2.830
##
## Deviance Information Criterion (DIC) ...............: 107952.23
## Deviance Information Criterion (DIC, saturated) ....: -97285.47
## Effective number of parameters .....................: 3057.36
##
## Watanabe-Akaike information criterion (WAIC) ...: 108081.84
## Effective number of parameters .................: 2748.59
##
## Marginal log-Likelihood: -55541.02
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')fit.rspde = rspde.result(rspde_fit_stat, "field", rspde_model_stat)
summary(fit.rspde)## mean sd 0.025quant 0.5quant 0.975quant mode
## std.dev 24.054600 3.8740000 16.8230000 23.9813000 31.925000 24.0489000
## range 0.224329 0.0494858 0.1455280 0.2178680 0.338937 0.2046550
## nu 0.102794 0.0464842 0.0435966 0.0919801 0.222552 0.07380381.2 Nonstationary model
- Observe that we are using the computed parameters from the stationary model as initial values for the nonstationary models.
nonstat.time.ini <- Sys.time()
################################################################################
############################# NON STATIONARY MODEL #############################
################################################################################
B.sigma = cbind(0, 1, 0, mesh$SpeedLimit, 0)
B.range = cbind(0, 0, 1, 0, mesh$SpeedLimit)
init.vec.theta = c(fit.rspde$summary.log.std.dev$mode,
fit.rspde$summary.log.range$mode,
rep(0, (ncol(B.sigma)-3)))
rspde_model_nonstat <- rspde.metric_graph(sf_graph,
start.theta = init.vec.theta,
theta.prior.mean = init.vec.theta,
B.sigma = B.sigma,
B.range = B.range,
parameterization = "matern",
nu.upper.bound = 1.5)str(rspde_model_nonstat)
## List of 20
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 21507
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 21507
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 6
## .. .. .. ..$ n : int 21507
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. ..$ rspde_order: int 2
## .. .. .. ..$ matern_par : int 1
## .. .. ..$ doubles :List of 9
## .. .. .. ..$ d : num 1
## .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. ..$ start.nu : num 0.75
## .. .. .. ..$ start.theta : num [1:4] 3.21 -1.54 0 0
## .. .. .. ..$ theta.prior.mean : num [1:4] 3.21 -1.54 0 0
## .. .. ..$ characters:List of 4
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 4
## .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. ..$ smatrices :List of 2
## .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "general"
## $ theta.prior.mean : num [1:4] 3.21 -1.54 0 0
## $ prior.nu :List of 4
## ..$ loglocation: num -0.288
## ..$ mean : num 0.75
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## $ start.nu : num 0.75
## $ integer.nu : logi FALSE
## $ start.theta : num [1:4] 3.21 -1.54 0 0
## $ stationary : logi FALSE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi TRUE
## $ nu.upper.bound : num 1.5
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 5
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. ..@ factors : list()
## ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 7169
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"data_rspde_bru_nonstat <- graph_data_rspde(rspde_model_nonstat,
repl = ".all",
loc_name = "loc")str(data_rspde_bru_nonstat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:14535] 0 12.9 24.1 32.2 0 ...
## ..$ SpeedLimit : num [1:14535] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## ..$ .coord_x : num [1:14535] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:14535] 37.8 37.8 37.8 37.8 37.8 ...
## ..$ .edge_number : num [1:14535] 1 4 6 6 9 14 14 14 18 20 ...
## ..$ .distance_on_edge: num [1:14535] 0.437 0.144 0.252 0.658 0.601 ...
## ..$ .group : chr [1:14535] "1" "1" "1" "1" ...
## ..$ loc : num [1:14535, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 7169
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:14535] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:87210] 0 555 1905 1906 0 1050 1471 1472 1473 1905 ...
## .. ..@ p : int [1:86029] 0 4 11 11 11 11 12 13 15 15 ...
## .. ..@ Dim : int [1:2] 14535 86028
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:87210] 0.563 0.0495 0.3595 0.7935 0.437 ...
## .. ..@ factors : list()cmp_nonstat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_nonstat,
replicate = data_rspde_bru_nonstat[["repl"]])
rspde_fit_nonstat <-
bru(cmp_nonstat,
data = data_rspde_bru_nonstat[["data"]],
family = "T",
options = list(verbose = FALSE)
)str(rspde_fit_nonstat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 20.8 2.6
## ..$ sd : num [1:2] 0.486 0.209
## ..$ 0.025quant: num [1:2] 19.89 2.18
## ..$ 0.5quant : num [1:2] 20.8 2.6
## ..$ 0.975quant: num [1:2] 21.8 3
## ..$ mode : num [1:2] 20.8 2.6
## ..$ kld : num [1:2] 8.71e-09 4.00e-08
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 18.7 19 19.3 19.7 19.9 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 1.66 1.78 1.92 2.1 2.18 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -55588 -55583
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:14535] 0.00609 0.03708 0.03822 0.03362 0.02222 ...
## $ waic :List of 4
## ..$ waic : num 108134
## ..$ p.eff : num 2605
## ..$ local.waic : num [1:14535] 11.2 6.88 6.74 7.36 9.04 ...
## ..$ local.p.eff: num [1:14535] 0.497 0.147 0.108 0.287 0.713 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:14535] -2.131 -0.758 0.406 0 -1.423 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 86028 obs. of 8 variables:
## .. ..$ ID : num [1:86028] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:86028] 0.0012 -0.00361 0.02893 0.03112 0.03195 ...
## .. ..$ sd : num [1:86028] 0.632 0.659 0.635 0.633 0.644 ...
## .. ..$ 0.025quant: num [1:86028] -1.25 -1.31 -1.22 -1.22 -1.24 ...
## .. ..$ 0.5quant : num [1:86028] 0.00115 -0.00344 0.02709 0.02915 0.03 ...
## .. ..$ 0.975quant: num [1:86028] 1.25 1.3 1.29 1.29 1.31 ...
## .. ..$ mode : num [1:86028] 0.00116 -0.00344 0.02744 0.02953 0.03036 ...
## .. ..$ kld : num [1:86028] 6.57e-08 7.18e-08 5.24e-08 5.06e-08 5.80e-08 ...
## $ marginals.random :List of 1
## ..$ field:List of 86028
## .. ..$ index.1 : num [1:43, 1:2] -3.04 -2.67 -2.13 -1.52 -1.25 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.2 : num [1:43, 1:2] -3.17 -2.78 -2.22 -1.59 -1.31 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.3 : num [1:43, 1:2] -3.02 -2.64 -2.1 -1.49 -1.22 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.4 : num [1:43, 1:2] -3.01 -2.63 -2.09 -1.48 -1.22 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.5 : num [1:43, 1:2] -3.05 -2.67 -2.12 -1.5 -1.24 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.6 : num [1:43, 1:2] -3.47 -3.03 -2.42 -1.72 -1.42 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.7 : num [1:43, 1:2] -3.1 -2.71 -2.15 -1.52 -1.25 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.8 : num [1:43, 1:2] -3.08 -2.68 -2.13 -1.5 -1.23 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.9 : num [1:43, 1:2] -3.47 -3.02 -2.4 -1.69 -1.39 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.10 : num [1:43, 1:2] -3.67 -3.18 -2.51 -1.77 -1.45 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.11 : num [1:43, 1:2] -4.06 -3.54 -2.83 -2.02 -1.66 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.12 : num [1:43, 1:2] -4.16 -3.64 -2.91 -2.07 -1.71 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.13 : num [1:43, 1:2] -3.56 -3.15 -2.51 -1.78 -1.47 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.14 : num [1:43, 1:2] -3.49 -3.09 -2.47 -1.75 -1.44 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.15 : num [1:43, 1:2] -3.44 -3.04 -2.43 -1.72 -1.41 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.16 : num [1:43, 1:2] -3.39 -3 -2.39 -1.69 -1.39 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.17 : num [1:43, 1:2] -3.36 -2.98 -2.37 -1.68 -1.38 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
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## ..$ sd : num [1:100565] 3.49 5.96 5.75 6.29 6 ...
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## ..$ kld : num [1:100565] 4.44e-11 3.56e-11 3.65e-11 4.12e-11 4.96e-11 ...
## $ marginals.linear.predictor : NULL
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## ..$ mean : num [1:100565] 18.6 14.9 23.6 27.5 10.7 ...
## ..$ sd : num [1:100565] 3.49 5.96 5.75 6.29 6 ...
## ..$ 0.025quant: num [1:100565] 11.72 3.23 12.37 15.19 -1.08 ...
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## ..$ mode : num [1:100565] 18.6 14.9 23.6 27.5 10.7 ...
## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
## ..$ n : num 86030
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## ..$ Ntotal: num 100565
## ..$ ngroup: num 1
## ..$ nrep : num 2
## $ summary.hyperpar :'data.frame': 7 obs. of 6 variables:
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## ..$ sd : num [1:7] 0.000202 1.364678 0.11546 0.136905 0.038513 ...
## ..$ 0.025quant: num [1:7] 0.0119 11.1851 2.0335 -0.3232 0.8969 ...
## ..$ 0.5quant : num [1:7] 0.0122 13.3184 2.2826 -0.0244 0.9681 ...
## ..$ 0.975quant: num [1:7] 0.0127 16.5364 2.4864 0.213 1.0485 ...
## ..$ mode : num [1:7] 0.0122 12.9222 2.3088 0.0114 0.9629 ...
## $ marginals.hyperpar :List of 7
## ..$ precision for the student-t observations: num [1:43, 1:2] 0.0115 0.0116 0.0117 0.0118 0.0119 ...
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ degrees of freedom for student-t : num [1:43, 1:2] 9.31 9.72 10.21 10.86 11.19 ...
## .. ..- attr(*, "hyperid")= chr "100002|INLA.Data1"
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta1 for field : num [1:43, 1:2] 1.72 1.8 1.88 1.98 2.03 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta3 for field : num [1:43, 1:2] 0.817 0.836 0.858 0.884 0.897 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta4 for field : num [1:43, 1:2] 0.7 0.714 0.731 0.752 0.762 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta5 for field : num [1:43, 1:2] 0.855 0.923 1.002 1.099 1.146 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ internal.summary.hyperpar :'data.frame': 7 obs. of 6 variables:
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## ..$ sd : num [1:7] 0.0164 0.1169 0.1154 0.1368 0.0385 ...
## ..$ 0.025quant: num [1:7] -4.433 2.218 2.033 -0.323 0.897 ...
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## ..$ 0.975quant: num [1:7] -4.369 2.677 2.486 0.213 1.048 ...
## ..$ mode : num [1:7] -4.40426 2.40413 2.30718 0.00917 0.9633 ...
## $ internal.marginals.hyperpar:List of 7
## ..$ log precision for the student-t observations: num [1:43, 1:2] -4.47 -4.46 -4.45 -4.44 -4.43 ...
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ dof_intern for student-t : num [1:43, 1:2] 1.99 2.04 2.11 2.18 2.22 ...
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta1 for field : num [1:43, 1:2] 1.72 1.8 1.88 1.98 2.03 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta4 for field : num [1:43, 1:2] 0.7 0.714 0.731 0.752 0.762 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta5 for field : num [1:43, 1:2] 0.855 0.923 1.002 1.099 1.146 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:100565] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:13140] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:7, 1:7] 2.81e-04 3.11e-04 -3.88e-05 -1.49e-04 2.99e-05 ...
## ..$ cor.intern : num [1:7, 1:7] 1 0.1587 -0.0203 -0.0665 0.0454 ...
## ..$ cov.intern.eigenvalues : num [1:7] 2.23e-05 2.20e-04 2.96e-04 5.35e-03 1.13e-02 ...
## ..$ cov.intern.eigenvectors : num [1:7, 1:7] -0.10602 0.00329 0.23595 -0.10296 -0.11441 ...
## ..$ reordering : int [1:86030] 14530 14531 11925 11320 11309 11634 11631 11638 11346 11340 ...
## ..$ theta.tags : chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## ..$ log.posterior.mode : num -55567
## ..$ stdev.corr.negative : num [1:7] 1.01 1.18 1.21 0.85 1.19 ...
## ..$ stdev.corr.positive : num [1:7] 0.988 0.847 0.828 1.176 0.843 ...
## ..$ to.theta :List of 7
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## .. ..$ Theta5 for field :function (x)
## ..$ from.theta :List of 7
## .. ..$ log precision for the student-t observations:function (x)
## .. ..$ dof_intern for student-t :function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## .. ..$ Theta5 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
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## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 14535
## .. ..$ npred : int 86030
## .. ..$ mnpred : int 100565
## .. ..$ Npred : int 14535
## .. ..$ n : int 86030
## .. ..$ nz : int 656168
## .. ..$ prior_nz : int 542050
## .. ..$ ntheta : int 7
## .. ..$ nconfig : int 79
## .. ..$ offsets : num [1:100565] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
## .. .. ..$ start : int [1:5] 1 14536 100566 186594 186595
## .. .. ..$ length: int [1:5] 14535 86030 86028 1 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
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## .. .. .. ..@ j : int [1:86030] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 86030 86030
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## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:86030] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:116238] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:116238] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 14535 86030
## .. .. .. ..@ Dimnames:List of 2
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## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:116238] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 79
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.439 2.196 2.492 0.235 0.918 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -10.4
## .. .. .. ..$ log.posterior.orig: num -4.64
## .. .. .. ..$ mean : num [1:86030] -0.000116 -0.003249 0.053081 0.056037 0.055363 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.002145 -0.000858 0.05235 0.055298 0.054538 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 249 -211 708 2171 -1216 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.418 0.417 0.443 0.443 0.44 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 249 -211 708 2171 -1216 ...
## .. .. .. .. .. ..@ factors : list()
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## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20225 -0.03428 0.00614 0.07161 -0.14858 ...
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15.1 23.7 27.5 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. ..$ theta : Named num [1:7] -4.44 2.196 2.496 0.234 0.917 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.8
## .. .. .. ..$ log.posterior.orig: num -8.42
## .. .. .. ..$ mean : num [1:86030] 0.00071 -0.00201 0.04772 0.05032 0.04979 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.002844 0.000275 0.047066 0.049664 0.049059 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
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## .. .. .. .. .. ..@ x : num [1:656168] 255 -215 717 2198 -1231 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.401 0.403 0.432 0.431 0.428 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ x : num [1:542050] 255 -215 717 2198 -1231 ...
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## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
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## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20115 -0.03237 0.00447 0.06759 -0.14347 ...
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## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.6 14.9 23.8 27.8 10.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
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## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.39 2.84e-03 2.75e-04 4.71e-02 ...
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. ..$ theta : Named num [1:7] -4.438 2.196 2.489 0.237 0.92 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -14
## .. .. .. ..$ log.posterior.orig: num -9.68
## .. .. .. ..$ mean : num [1:86030] -0.000822 -0.004426 0.059338 0.062689 0.061856 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00158 -0.00192 0.05853 0.06187 0.06094 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 242 -207 699 2145 -1201 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.435 0.431 0.455 0.456 0.453 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ x : num [1:542050] 242 -207 699 2145 -1201 ...
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
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## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20329 -0.03619 0.00807 0.07585 -0.15354 ...
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## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19 15.2 23.6 27.2 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.87941 2.49513 0.00158 -0.00192 0.05853 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.418 2.195 2.483 0.24 0.891 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.5
## .. .. .. ..$ log.posterior.orig: num -8.19
## .. .. .. ..$ mean : num [1:86030] 0.000715 -0.002285 0.054792 0.057798 0.057048 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.002909 0.000069 0.05401 0.057007 0.056171 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 254 -213 707 2168 -1214 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.412 0.416 0.448 0.448 0.445 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 254 -213 707 2168 -1214 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.205 -0.0342 0.0059 0.0724 -0.1502 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15 23.8 27.6 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.46 2.91e-03 6.90e-05 5.40e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.469 2.197 2.505 0.229 0.956 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -14
## .. .. .. ..$ log.posterior.orig: num -9.68
## .. .. .. ..$ mean : num [1:86030] 0.000516 -0.002791 0.05187 0.05475 0.054183 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.002799 -0.000423 0.051159 0.05403 0.053377 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 241 -208 711 2181 -1222 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.425 0.417 0.436 0.435 0.432 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 241 -208 711 2181 -1222 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.19839 -0.0342 0.00671 0.07072 -0.14633 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.1 23.7 27.4 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.861683 2.434446 0.002799 -0.000423 0.051159 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.472 2.197 2.484 0.239 0.896 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -13.8
## .. .. .. ..$ log.posterior.orig: num -9.45
## .. .. .. ..$ mean : num [1:86030] -9.89e-05 -3.34e-03 5.62e-02 5.93e-02 5.85e-02 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00207 -0.00103 0.05542 0.05856 0.05766 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 250 -210 702 2153 -1206 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.419 0.422 0.452 0.452 0.449 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 250 -210 702 2153 -1206 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.19808 -0.03401 0.00724 0.07231 -0.1473 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.1 23.7 27.3 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.86993 2.50788 0.00207 -0.00103 0.05542 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.39 2.194 2.505 0.23 0.951 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.5
## .. .. .. ..$ log.posterior.orig: num -8.15
## .. .. .. ..$ mean : num [1:86030] 0.000567 -0.002418 0.049153 0.05185 0.051343 ...
## .. .. .. ..$ improved.mean : num [1:86030] 2.93e-03 5.79e-05 4.85e-02 5.12e-02 5.06e-02 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 247 -212 719 2204 -1235 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.414 0.409 0.431 0.429 0.426 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 247 -212 719 2204 -1235 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20843 -0.03457 0.00472 0.07064 -0.15028 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 15 23.8 27.8 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.35 2.93e-03 5.79e-05 4.85e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.428 2.337 2.608 0.105 0.847 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.48
## .. .. .. ..$ log.posterior.orig: num -1.12
## .. .. .. ..$ mean : num [1:86030] -0.00164 -0.00833 0.06407 0.0681 0.06858 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00173 -0.00473 0.06331 0.06734 0.06769 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 123 -104 349 1069 -599 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.665 0.664 0.716 0.688 0.682 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 123 -104 349 1069 -599 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2049 -0.0326 0.0069 0.0706 -0.1468 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.6 15 23.7 27.5 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.89227 2.5149 0.00173 -0.00473 0.06331 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.447 2.094 2.409 0.33 0.969 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.7
## .. .. .. ..$ log.posterior.orig: num -8.35
## .. .. .. ..$ mean : num [1:86030] 0.000604 -0.00114 0.04453 0.046857 0.045881 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.002274 0.000614 0.043853 0.046169 0.045135 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 412 -350 1176 3609 -2023 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.3 0.299 0.315 0.324 0.322 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 412 -350 1176 3609 -2023 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20021 -0.03561 0.00546 0.07226 -0.14979 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.1 23.8 27.5 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.39 2.27e-03 6.14e-04 4.39e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.443 2.023 2.63 0.162 0.872 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -13.9
## .. .. .. ..$ log.posterior.orig: num -9.51
## .. .. .. ..$ mean : num [1:86030] -0.00313 -0.01025 0.08185 0.08689 0.08666 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00173 -0.00509 0.08053 0.08556 0.08512 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 115.9 -98.2 329.9 1011.1 -566.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.773 0.772 0.826 0.807 0.801 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 115.9 -98.2 329.9 1011.1 -566.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.19969 -0.03445 0.00641 0.07321 -0.15063 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19 15 23.7 27.6 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.90236 2.47703 0.00173 -0.00509 0.08053 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.433 2.44 2.298 0.338 0.983 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.75
## .. .. .. ..$ log.posterior.orig: num -3.39
## .. .. .. ..$ mean : num [1:86030] 0.000842 -0.000124 0.026208 0.027547 0.026957 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.001533 0.000599 0.025922 0.027255 0.026642 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 782 -665 2241 6879 -3855 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.162 0.162 0.17 0.175 0.175 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 782 -665 2241 6879 -3855 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20615 -0.03543 0.00673 0.07213 -0.14927 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15.2 23.7 27.2 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.42 1.53e-03 5.99e-04 2.59e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.441 2.029 2.529 0.291 0.871 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -17
## .. .. .. ..$ log.posterior.orig: num -12.6
## .. .. .. ..$ mean : num [1:86030] 0.000237 -0.001449 0.04558 0.047959 0.04687 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.001939 0.000324 0.044837 0.047204 0.046055 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 449 -383 1291 3963 -2221 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.286 0.284 0.298 0.308 0.306 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 449 -383 1291 3963 -2221 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20052 -0.03741 0.00643 0.07575 -0.15433 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19.1 15.2 23.7 27.4 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.41 1.94e-03 3.24e-04 4.48e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.435 2.487 2.429 0.137 1 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -13.9
## .. .. .. ..$ log.posterior.orig: num -9.59
## .. .. .. ..$ mean : num [1:86030] -0.00238 -0.00999 0.05494 0.05877 0.05963 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000272 -0.00718 0.054442 0.058261 0.059008 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 129 -110 374 1144 -640 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.585 0.58 0.623 0.59 0.585 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 129 -110 374 1144 -640 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2069 -0.034 0.0103 0.0754 -0.1515 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.2 23.4 27 11.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.828524 2.635302 0.000272 -0.00718 0.054442 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.44 2.277 2.7 0.511 0.895 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.5
## .. .. .. ..$ log.posterior.orig: num -8.11
## .. .. .. ..$ mean : num [1:86030] 0.00676 0.00548 0.11553 0.12066 0.11698 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00905 0.00784 0.11408 0.11918 0.11544 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 331 -281 942 2899 -1625 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.612 0.607 0.626 0.685 0.684 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 331 -281 942 2899 -1625 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20326 -0.03814 0.00361 0.07064 -0.14883 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15.4 23.9 27.5 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.99112 2.24438 0.00905 0.00784 0.11408 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.437 2.063 2.15 -0.219 0.955 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -11
## .. .. .. ..$ log.posterior.orig: num -6.66
## .. .. .. ..$ mean : num [1:86030] -0.000716 -0.005795 0.002665 0.003876 0.005174 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00102 -0.00387 0.00272 0.00394 0.00517 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 159 -134 454 1379 -770 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.234 0.233 0.264 0.222 0.217 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 159 -134 454 1379 -770 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2006 -0.0311 0.0105 0.0744 -0.1492 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 14.8 23.5 27.5 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.72491 2.93818 0.00102 -0.00387 0.00272 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4337 2.1515 2.3676 0.0307 0.9922 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -10.9
## .. .. .. ..$ log.posterior.orig: num -6.52
## .. .. .. ..$ mean : num [1:86030] -0.0021 -0.00856 0.02909 0.03159 0.03286 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000833 -0.005442 0.028755 0.03126 0.032403 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 137 -118 402 1228 -687 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.455 0.449 0.484 0.443 0.438 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 137 -118 402 1228 -687 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20261 -0.03309 0.00888 0.074 -0.15062 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 14.9 23.6 27.4 11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.809079 2.64451 0.000833 -0.005442 0.028755 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.435 2.232 2.576 0.307 0.97 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -13
## .. .. .. ..$ log.posterior.orig: num -8.62
## .. .. .. ..$ mean : num [1:86030] 0.00116 -0.00317 0.08884 0.09355 0.09198 ...
## .. .. .. ..$ improved.mean : num [1:86030] 4.31e-03 8.45e-05 8.76e-02 9.23e-02 9.06e-02 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 187 -161 549 1686 -945 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.628 0.617 0.641 0.654 0.651 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 187 -161 549 1686 -945 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20389 -0.03654 0.00675 0.07372 -0.15187 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.2 23.7 27.3 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.40 4.31e-03 8.45e-05 8.76e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.436 1.978 2.405 0.089 0.944 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -16
## .. .. .. ..$ log.posterior.orig: num -11.7
## .. .. .. ..$ mean : num [1:86030] -0.00155 -0.00541 0.02969 0.03177 0.03211 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000922 -0.002807 0.029235 0.031308 0.031544 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 224 -192 656 2007 -1124 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.339 0.334 0.357 0.338 0.334 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 224 -192 656 2007 -1124 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20013 -0.03441 0.00768 0.07478 -0.15271 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19 14.9 23.7 27.6 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.835944 2.553103 0.000922 -0.002807 0.029235 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.437 2.059 2.614 0.365 0.921 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -16.3
## .. .. .. ..$ log.posterior.orig: num -11.9
## .. .. .. ..$ mean : num [1:86030] 0.00222 -0.00006 0.07891 0.08278 0.08077 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00489 0.00268 0.07766 0.08151 0.07941 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 295 -254 863 2652 -1486 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.49 0.481 0.497 0.522 0.52 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 295 -254 863 2652 -1486 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20124 -0.03769 0.00499 0.07335 -0.15242 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19 15.2 23.8 27.6 11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.92533 2.31081 0.00489 0.00268 0.07766 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.423 2.401 2.318 0.012 0.988 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.47
## .. .. .. ..$ log.posterior.orig: num -1.11
## .. .. .. ..$ mean : num [1:86030] -0.00101 -0.00608 0.02209 0.02398 0.02509 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000879 -0.004062 0.02189 0.023789 0.024817 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 171 -146 499 1526 -854 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.355 0.351 0.38 0.345 0.341 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 171 -146 499 1526 -854 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2065 -0.03191 0.00885 0.07175 -0.14758 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.6 15 23.6 27.4 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.809987 2.650502 0.000879 -0.004062 0.02189 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.424 2.481 2.526 0.288 0.966 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.97
## .. .. .. ..$ log.posterior.orig: num -3.61
## .. .. .. ..$ mean : num [1:86030] 0.0019 -0.00153 0.06879 0.07239 0.07133 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.003976 0.000622 0.068055 0.071636 0.070507 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 229 -197 669 2053 -1151 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.499 0.491 0.513 0.52 0.518 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 229 -197 669 2053 -1151 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20758 -0.03492 0.00646 0.07087 -0.14825 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 15.2 23.7 27.3 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.39 3.98e-03 6.22e-04 6.81e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4253 2.2274 2.3555 0.0703 0.9398 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -11.1
## .. .. .. ..$ log.posterior.orig: num -6.76
## .. .. .. ..$ mean : num [1:86030] -0.000777 -0.003775 0.022017 0.023559 0.023874 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000719 -0.002201 0.021759 0.023298 0.023553 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 303 -261 892 2728 -1527 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.245 0.242 0.258 0.243 0.24 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 303 -261 891 2728 -1527 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20495 -0.03403 0.00901 0.07492 -0.15224 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15 23.6 27.3 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.809389 2.600954 0.000719 -0.002201 0.021759 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.426 2.308 2.564 0.346 0.917 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -11
## .. .. .. ..$ log.posterior.orig: num -6.65
## .. .. .. ..$ mean : num [1:86030] 0.002392 0.000579 0.059534 0.062432 0.06099 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00404 0.00227 0.05878 0.06167 0.06018 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 391 -337 1148 3526 -1976 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.361 0.355 0.366 0.384 0.382 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 391 -337 1148 3526 -1976 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2058 -0.037 0.0059 0.0727 -0.1513 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.3 23.8 27.4 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.90212 2.34377 0.00404 0.00227 0.05878 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.46 2.31 2.23 0.1 1.01 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -8.36
## .. .. .. ..$ log.posterior.orig: num -4
## .. .. .. ..$ mean : num [1:86030] -0.000961 -0.004292 0.022315 0.023936 0.024374 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000492 -0.002745 0.022083 0.023703 0.024081 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 269 -230 777 2377 -1331 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.265 0.263 0.284 0.266 0.263 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 269 -230 777 2377 -1331 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20068 -0.03234 0.00914 0.07245 -0.1469 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15 23.5 27.2 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.814818 2.641529 0.000492 -0.002745 0.022083 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.462 2.391 2.442 0.376 0.991 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -10.9
## .. .. .. ..$ log.posterior.orig: num -6.55
## .. .. .. ..$ mean : num [1:86030] 0.001789 -0.000252 0.060846 0.063892 0.06245 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00334 0.00136 0.06015 0.06318 0.06168 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 362 -310 1047 3217 -1803 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.374 0.37 0.385 0.402 0.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 362 -310 1047 3217 -1803 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20172 -0.03583 0.00672 0.07165 -0.14764 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.3 23.7 27.2 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.90549 2.40317 0.00334 0.00136 0.06015 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.463 2.137 2.272 0.158 0.965 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -15.2
## .. .. .. ..$ log.posterior.orig: num -10.8
## .. .. .. ..$ mean : num [1:86030] -0.000672 -0.002617 0.020859 0.022183 0.022105 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000461 -0.001426 0.020587 0.021907 0.021783 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 478 -409 1387 4248 -2379 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.182 0.181 0.193 0.187 0.185 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 478 -409 1387 4248 -2379 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.19916 -0.03477 0.00937 0.07593 -0.15174 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19.1 15.1 23.5 27.1 11.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.816757 2.596477 0.000461 -0.001426 0.020587 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.464 2.218 2.48 0.435 0.942 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -15.1
## .. .. .. ..$ log.posterior.orig: num -10.7
## .. .. .. ..$ mean : num [1:86030] 0.00212 0.0011 0.0511 0.05351 0.05199 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00334 0.00235 0.05041 0.05281 0.05125 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 620 -531 1796 5520 -3094 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.271 0.267 0.275 0.295 0.295 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 620 -531 1796 5520 -3094 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20003 -0.03816 0.00624 0.07377 -0.15094 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19.1 15.4 23.7 27.2 11.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.91567 2.35791 0.00334 0.00235 0.05041 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4578 2.2442 2.4352 -0.0511 0.9253 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -10.3
## .. .. .. ..$ log.posterior.orig: num -5.97
## .. .. .. ..$ mean : num [1:86030] -0.0037 -0.0142 0.0297 0.033 0.0355 ...
## .. .. .. ..$ improved.mean : num [1:86030] -7.46e-05 -1.03e-02 2.95e-02 3.28e-02 3.52e-02 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 87.4 -74.4 252.5 770.3 -430.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.617 0.612 0.67 0.601 0.592 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 87.3 -74.4 252.4 770.3 -430.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2005 -0.032 0.0104 0.0742 -0.1485 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15 23.4 27.2 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.08e+01 2.76 -7.46e-05 -1.03e-02 2.95e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.459 2.325 2.643 0.225 0.903 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.4
## .. .. .. ..$ log.posterior.orig: num -8.04
## .. .. .. ..$ mean : num [1:86030] -0.00191 -0.00942 0.106 0.11212 0.11109 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00204 -0.00529 0.10473 0.11082 0.10963 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 119 -102 345 1059 -593 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.844 0.834 0.88 0.878 0.872 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 119 -102 345 1059 -593 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20176 -0.03532 0.00831 0.07394 -0.14989 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19 15.2 23.6 27.1 11.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.88669 2.49862 0.00204 -0.00529 0.10473 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.46027 2.071 2.47309 0.00717 0.87675 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.8
## .. .. .. ..$ log.posterior.orig: num -8.44
## .. .. .. ..$ mean : num [1:86030] -0.00305 -0.00938 0.0332 0.0359 0.03698 ...
## .. .. .. ..$ improved.mean : num [1:86030] 7.54e-05 -6.05e-03 3.28e-02 3.55e-02 3.64e-02 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 142 -121 410 1253 -701 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.464 0.46 0.499 0.461 0.456 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 142 -121 410 1253 -701 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.19832 -0.0331 0.00914 0.07459 -0.15003 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19 15 23.6 27.3 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.08e+01 2.66 7.54e-05 -6.05e-03 3.28e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.461 2.152 2.681 0.283 0.854 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -13.1
## .. .. .. ..$ log.posterior.orig: num -8.75
## .. .. .. ..$ mean : num [1:86030] 0.000297 -0.003781 0.098143 0.103281 0.101236 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.003736 -0.000205 0.096716 0.101832 0.09966 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 186 -159 537 1649 -924 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.666 0.659 0.69 0.71 0.707 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 186 -159 537 1649 -924 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.19928 -0.03615 0.00632 0.0729 -0.14968 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19 15.2 23.7 27.4 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.927072 2.401981 0.003736 -0.000205 0.096716 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.41 2.308 2.234 0.101 1.01 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -6.27
## .. .. .. ..$ log.posterior.orig: num -1.91
## .. .. .. ..$ mean : num [1:86030] -0.000736 -0.003875 0.021753 0.023305 0.023746 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000743 -0.002287 0.021514 0.023066 0.023447 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 273 -232 781 2388 -1336 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.261 0.26 0.282 0.264 0.261 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 273 -232 781 2388 -1336 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2073 -0.03257 0.00782 0.07235 -0.14949 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 14.9 23.6 27.5 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.84039 2.5891 0.000743 -0.002287 0.021514 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.411 2.389 2.442 0.377 0.987 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.05
## .. .. .. ..$ log.posterior.orig: num -4.69
## .. .. .. ..$ mean : num [1:86030] 1.94e-03 3.91e-05 5.89e-02 6.18e-02 6.04e-02 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00352 0.00169 0.05821 0.06113 0.0597 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 367 -312 1052 3230 -1810 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.368 0.366 0.383 0.399 0.397 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 367 -312 1052 3230 -1810 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20848 -0.03605 0.00544 0.0717 -0.15032 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 15.2 23.8 27.4 11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.93241 2.35361 0.00352 0.00169 0.05821 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.413 2.135 2.272 0.16 0.961 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -14.5
## .. .. .. ..$ log.posterior.orig: num -10.1
## .. .. .. ..$ mean : num [1:86030] -0.000564 -0.002399 0.020219 0.021492 0.021422 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000579 -0.00119 0.019943 0.021213 0.021097 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 488 -416 1406 4306 -2411 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.178 0.177 0.19 0.183 0.182 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 488 -416 1406 4306 -2411 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20555 -0.03519 0.00819 0.07634 -0.15508 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19 15 23.6 27.4 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.841703 2.551634 0.000579 -0.00119 0.019943 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.414 2.216 2.48 0.436 0.938 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -13.8
## .. .. .. ..$ log.posterior.orig: num -9.48
## .. .. .. ..$ mean : num [1:86030] 0.00214 0.0012 0.04931 0.05163 0.05016 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00337 0.00247 0.04864 0.05095 0.04945 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 630 -537 1811 5566 -3121 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.265 0.263 0.272 0.292 0.291 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 630 -537 1811 5566 -3121 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20653 -0.03847 0.00497 0.07403 -0.15397 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.3 23.8 27.4 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.94348 2.31127 0.00337 0.00247 0.04864 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.407 2.242 2.435 -0.05 0.921 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.24
## .. .. .. ..$ log.posterior.orig: num -4.88
## .. .. .. ..$ mean : num [1:86030] -0.00323 -0.01312 0.02926 0.03242 0.03488 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000448 -0.009133 0.029002 0.032166 0.034469 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 89 -75.5 254.9 777.8 -435.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.605 0.603 0.663 0.594 0.585 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 89 -75.5 254.9 777.8 -435.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20711 -0.03238 0.00923 0.0744 -0.15146 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 14.9 23.6 27.4 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.816499 2.713649 0.000448 -0.009133 0.029002 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.408 2.323 2.643 0.226 0.899 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -11.1
## .. .. .. ..$ log.posterior.orig: num -6.72
## .. .. .. ..$ mean : num [1:86030] -0.00132 -0.00837 0.10319 0.10908 0.10811 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00271 -0.00413 0.10191 0.10778 0.10665 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 121 -103 347 1063 -596 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.832 0.826 0.876 0.873 0.868 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 121 -103 347 1063 -596 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20844 -0.03556 0.00698 0.07398 -0.15269 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15.1 23.7 27.4 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.91421 2.44904 0.00271 -0.00413 0.10191 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.41 2.0691 2.4726 0.0083 0.8727 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.3
## .. .. .. ..$ log.posterior.orig: num -7.91
## .. .. .. ..$ mean : num [1:86030] -0.00259 -0.00856 0.03246 0.03504 0.03611 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000571 -0.005163 0.032019 0.034609 0.03554 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 145 -123 413 1264 -707 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.455 0.454 0.494 0.456 0.451 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 145 -123 413 1264 -707 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20452 -0.03336 0.00785 0.0746 -0.15286 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 14.9 23.7 27.6 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.846735 2.614809 0.000571 -0.005163 0.032019 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.411 2.15 2.681 0.284 0.85 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.6
## .. .. .. ..$ log.posterior.orig: num -8.22
## .. .. .. ..$ mean : num [1:86030] 0.000778 -0.003024 0.095186 0.100124 0.098172 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.004259 0.000624 0.093787 0.098705 0.096631 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 190 -161 542 1663 -932 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.653 0.65 0.683 0.703 0.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 190 -161 542 1663 -932 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20564 -0.03639 0.00507 0.07304 -0.15251 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.1 23.8 27.6 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.10e+01 2.36 4.26e-03 6.24e-04 9.38e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4453 2.1518 2.3514 0.0382 0.9465 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.7
## .. .. .. ..$ log.posterior.orig: num -8.35
## .. .. .. ..$ mean : num [1:86030] -0.00274 -0.0093 0.03165 0.03432 0.03553 ...
## .. .. .. ..$ improved.mean : num [1:86030] 9.35e-05 -6.23e-03 3.13e-02 3.40e-02 3.50e-02 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 141 -119 398 1217 -681 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.451 0.452 0.496 0.456 0.45 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 141 -119 398 1217 -681 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20124 -0.03276 0.00963 0.07532 -0.1509 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 14.9 23.5 27.3 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.08e+01 2.71 9.35e-05 -6.23e-03 3.13e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.446 2.233 2.559 0.314 0.924 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -14.8
## .. .. .. ..$ log.posterior.orig: num -10.4
## .. .. .. ..$ mean : num [1:86030] 0.000034 -0.004249 0.094322 0.099382 0.097474 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00305 -0.00108 0.09304 0.09808 0.09605 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 192 -163 545 1672 -937 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.622 0.622 0.657 0.673 0.67 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 192 -163 545 1672 -937 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2025 -0.03644 0.00737 0.07497 -0.15214 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19 15.2 23.7 27.2 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.9008 2.46211 0.00305 -0.00108 0.09304 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4478 1.9786 2.3893 0.0965 0.898 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -17.6
## .. .. .. ..$ log.posterior.orig: num -13.2
## .. .. .. ..$ mean : num [1:86030] -0.00194 -0.00586 0.03211 0.03434 0.03458 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000437 -0.00331 0.031604 0.033835 0.033966 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 230 -194 649 1986 -1112 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.336 0.338 0.367 0.348 0.345 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 230 -194 649 1986 -1112 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.19882 -0.03413 0.00843 0.07618 -0.15302 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19.1 14.9 23.6 27.4 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.829871 2.617613 0.000437 -0.00331 0.031604 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.449 2.059 2.597 0.373 0.875 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -17.3
## .. .. .. ..$ log.posterior.orig: num -12.9
## .. .. .. ..$ mean : num [1:86030] 0.001818 -0.000386 0.083996 0.088166 0.085846 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00436 0.00227 0.08264 0.08678 0.08438 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 301 -255 851 2614 -1465 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.488 0.488 0.512 0.54 0.538 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 301 -255 851 2614 -1465 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1999 -0.0375 0.0055 0.0744 -0.1525 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 19.1 15.2 23.8 27.4 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.92897 2.37276 0.00436 0.00227 0.08264 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4344 2.401 2.3014 0.0195 0.9427 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.06
## .. .. .. ..$ log.posterior.orig: num -2.7
## .. .. .. ..$ mean : num [1:86030] -0.00146 -0.00659 0.0241 0.02613 0.02721 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000379 -0.0046 0.023886 0.025913 0.026913 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 175 -147 494 1508 -844 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.353 0.355 0.39 0.356 0.352 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 175 -147 493 1508 -844 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20504 -0.03153 0.00955 0.07294 -0.1478 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 15 23.5 27.2 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.804326 2.713898 0.000379 -0.0046 0.023886 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.435 2.482 2.509 0.296 0.92 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.6
## .. .. .. ..$ log.posterior.orig: num -5.24
## .. .. .. ..$ mean : num [1:86030] 0.00119 -0.00219 0.07325 0.07712 0.07582 ...
## .. .. .. ..$ improved.mean : num [1:86030] 3.18e-03 -9.96e-05 7.25e-02 7.63e-02 7.49e-02 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 236 -199 665 2042 -1144 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.493 0.494 0.524 0.534 0.531 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 236 -199 665 2042 -1144 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20618 -0.03484 0.00717 0.07227 -0.14881 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15.2 23.7 27.2 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.46 3.18e-03 -9.96e-05 7.25e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.437 2.2278 2.3393 0.0777 0.8942 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -13
## .. .. .. ..$ log.posterior.orig: num -8.68
## .. .. .. ..$ mean : num [1:86030] -0.0012 -0.00423 0.02374 0.0254 0.02565 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000254 -0.00268 0.023462 0.025117 0.025305 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 310 -262 879 2691 -1506 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.244 0.245 0.266 0.251 0.248 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 310 -262 879 2691 -1506 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20353 -0.03372 0.00971 0.07615 -0.15239 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15 23.5 27.2 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.813321 2.663041 0.000254 -0.00268 0.023462 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.438 2.309 2.547 0.354 0.871 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.4
## .. .. .. ..$ log.posterior.orig: num -8.05
## .. .. .. ..$ mean : num [1:86030] 1.84e-03 9.33e-05 6.32e-02 6.64e-02 6.47e-02 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00341 0.00174 0.06244 0.06555 0.06383 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 401 -339 1133 3482 -1952 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.359 0.359 0.377 0.396 0.395 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 401 -339 1133 3482 -1952 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20439 -0.03689 0.00647 0.07386 -0.15152 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.3 23.7 27.2 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.91521 2.40872 0.00341 0.00174 0.06244 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4308 2.3091 2.2446 0.0959 1.0333 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -6.22
## .. .. .. ..$ log.posterior.orig: num -1.86
## .. .. .. ..$ mean : num [1:86030] -0.000343 -0.003246 0.019496 0.020881 0.021348 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00109 -0.00171 0.01928 0.02067 0.02108 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 271 -232 785 2401 -1344 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.257 0.256 0.276 0.257 0.254 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 271 -232 785 2401 -1344 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20367 -0.03122 0.00661 0.06835 -0.14381 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.5 14.9 23.7 27.7 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.85008 2.53632 0.00109 -0.00171 0.01928 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.432 2.39 2.453 0.372 1.011 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.44
## .. .. .. ..$ log.posterior.orig: num -5.08
## .. .. .. ..$ mean : num [1:86030] 0.002295 0.000505 0.05332 0.055942 0.05478 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00384 0.00211 0.05271 0.05532 0.05412 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 365 -312 1056 3244 -1818 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.364 0.359 0.374 0.389 0.387 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 365 -312 1056 3244 -1818 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2047 -0.0344 0.0044 0.0678 -0.1446 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.6 15.1 23.8 27.6 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.93479 2.30159 0.00384 0.00211 0.05271 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.433 2.136 2.283 0.154 0.985 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.53
## .. .. .. ..$ log.posterior.orig: num -5.17
## .. .. .. ..$ mean : num [1:86030] -0.000256 -0.001958 0.018153 0.019289 0.019274 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000841 -0.000801 0.017906 0.01904 0.018982 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 490 -421 1430 4379 -2452 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.174 0.172 0.183 0.177 0.175 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 490 -421 1430 4379 -2452 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2024 -0.0339 0.0071 0.0726 -0.15 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15 23.7 27.5 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.843573 2.506393 0.000841 -0.000801 0.017906 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.434 2.217 2.491 0.43 0.962 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -11.5
## .. .. .. ..$ log.posterior.orig: num -7.18
## .. .. .. ..$ mean : num [1:86030] 0.00234 0.00143 0.04462 0.0467 0.04543 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00352 0.00265 0.04403 0.04609 0.04479 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 635 -545 1848 5680 -3184 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.258 0.254 0.262 0.28 0.279 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 635 -545 1848 5680 -3184 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2032 -0.037 0.0042 0.0707 -0.1491 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15.2 23.9 27.6 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.93636 2.27038 0.00352 0.00265 0.04403 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4279 2.2431 2.4455 -0.0554 0.9449 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.75
## .. .. .. ..$ log.posterior.orig: num -1.39
## .. .. .. ..$ mean : num [1:86030] -0.0022 -0.0113 0.0261 0.029 0.0314 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00137 -0.00744 0.0259 0.02874 0.03097 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 88.3 -75.4 256 780.9 -436.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.599 0.593 0.65 0.58 0.572 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 88.3 -75.4 256 780.9 -436.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20359 -0.03107 0.00789 0.07022 -0.14572 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.6 14.8 23.6 27.6 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.82845 2.6617 0.00137 -0.00744 0.0259 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.429 2.324 2.654 0.221 0.922 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.79
## .. .. .. ..$ log.posterior.orig: num -3.43
## .. .. .. ..$ mean : num [1:86030] 5.41e-05 -6.49e-03 9.37e-02 9.90e-02 9.84e-02 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.004 -0.00235 0.09259 0.09785 0.09704 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 120 -103 348 1066 -597 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.825 0.815 0.86 0.854 0.848 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 120 -103 348 1066 -597 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20479 -0.03395 0.00581 0.0699 -0.14692 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 15.1 23.8 27.5 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.91898 2.39799 0.004 -0.00235 0.09259 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.43041 2.06992 2.4834 0.00294 0.89636 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -10.1
## .. .. .. ..$ log.posterior.orig: num -5.71
## .. .. .. ..$ mean : num [1:86030] -0.00188 -0.0074 0.02899 0.03131 0.03238 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00116 -0.00414 0.0286 0.03092 0.03187 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 146 -124 422 1289 -721 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.444 0.44 0.477 0.439 0.433 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 146 -124 422 1289 -721 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20145 -0.03221 0.00686 0.07105 -0.14789 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 14.8 23.7 27.7 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.85399 2.57307 0.00116 -0.00414 0.0286 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.431 2.151 2.691 0.279 0.874 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12.4
## .. .. .. ..$ log.posterior.orig: num -8.06
## .. .. .. ..$ mean : num [1:86030] 0.0015 -0.00206 0.08607 0.09049 0.08888 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00488 0.00148 0.08484 0.08924 0.08752 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 190 -162 549 1685 -944 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.641 0.634 0.663 0.68 0.677 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 190 -162 549 1685 -944 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20238 -0.03486 0.00415 0.06934 -0.14717 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 15.1 23.9 27.7 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.95474 2.30903 0.00488 0.00148 0.08484 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4657 2.1526 2.3622 0.0328 0.9702 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -10.2
## .. .. .. ..$ log.posterior.orig: num -5.8
## .. .. .. ..$ mean : num [1:86030] -0.00212 -0.00816 0.02836 0.03076 0.03198 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000646 -0.005183 0.02803 0.030432 0.031537 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 140 -118 399 1220 -683 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.447 0.446 0.487 0.445 0.44 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 140 -118 399 1220 -683 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.1979 -0.0314 0.0082 0.0711 -0.1454 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 14.9 23.6 27.5 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.827159 2.652175 0.000646 -0.005183 0.02803 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.467 2.233 2.57 0.309 0.948 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -12
## .. .. .. ..$ log.posterior.orig: num -7.62
## .. .. .. ..$ mean : num [1:86030] 0.000558 -0.003431 0.085491 0.090036 0.088471 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.003529 -0.000321 0.084346 0.088875 0.087199 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 190 -162 546 1674 -938 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.617 0.613 0.645 0.659 0.655 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 190 -162 546 1674 -938 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.19908 -0.03482 0.00611 0.07085 -0.14658 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.2 23.7 27.4 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.920544 2.407797 0.003529 -0.000321 0.084346 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4683 1.9794 2.4001 0.0911 0.9216 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -15.2
## .. .. .. ..$ log.posterior.orig: num -10.8
## .. .. .. ..$ mean : num [1:86030] -0.00155 -0.00517 0.02874 0.03074 0.03105 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000752 -0.002708 0.028299 0.030294 0.03051 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 230 -195 658 2013 -1127 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.33 0.329 0.356 0.336 0.333 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 230 -195 658 2013 -1127 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.19591 -0.03286 0.00722 0.07228 -0.14793 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 14.9 23.7 27.6 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.850875 2.567835 0.000752 -0.002708 0.028299 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.469 2.06 2.608 0.367 0.899 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -16.8
## .. .. .. ..$ log.posterior.orig: num -12.5
## .. .. .. ..$ mean : num [1:86030] 0.001786 -0.000295 0.075777 0.07952 0.077534 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00427 0.00229 0.07459 0.07831 0.07625 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 303 -257 865 2658 -1490 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.477 0.474 0.495 0.52 0.519 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 303 -257 865 2658 -1490 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.19686 -0.03608 0.00459 0.0709 -0.14763 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.2 23.8 27.6 11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.95012 2.32757 0.00427 0.00229 0.07459 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4549 2.4018 2.3122 0.0141 0.9664 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -5.45
## .. .. .. ..$ log.posterior.orig: num -1.09
## .. .. .. ..$ mean : num [1:86030] -0.00107 -0.00581 0.02147 0.02328 0.02435 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000714 -0.003881 0.021274 0.02309 0.024088 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 174 -147 497 1518 -849 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.348 0.348 0.381 0.347 0.342 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 174 -148 497 1518 -849 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20132 -0.03033 0.00823 0.06899 -0.14235 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.6 14.9 23.6 27.4 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.825326 2.660362 0.000714 -0.003881 0.021274 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.456 2.483 2.52 0.29 0.944 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -8.38
## .. .. .. ..$ log.posterior.orig: num -4.02
## .. .. .. ..$ mean : num [1:86030] 0.00139 -0.00177 0.06608 0.06955 0.0685 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.003339 0.000275 0.065379 0.068836 0.067714 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 234 -199 669 2054 -1151 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.487 0.485 0.512 0.52 0.517 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 234 -199 669 2054 -1151 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20233 -0.03336 0.00601 0.06842 -0.14331 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.6 15.2 23.7 27.4 11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.41 3.34e-03 2.75e-04 6.54e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4574 2.2286 2.3501 0.0724 0.9178 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -8
## .. .. .. ..$ log.posterior.orig: num -3.64
## .. .. .. ..$ mean : num [1:86030] -0.000906 -0.003714 0.021195 0.022676 0.022971 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000491 -0.002225 0.020947 0.022427 0.022664 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 312 -265 895 2740 -1534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.238 0.237 0.256 0.241 0.239 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 312 -265 895 2740 -1534 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20023 -0.03255 0.00854 0.07248 -0.14747 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15 23.6 27.3 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.829157 2.616375 0.000491 -0.002225 0.020947 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.458 2.309 2.558 0.349 0.895 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.95
## .. .. .. ..$ log.posterior.orig: num -5.59
## .. .. .. ..$ mean : num [1:86030] 0.001847 0.000197 0.056947 0.059745 0.058324 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00338 0.0018 0.05624 0.05902 0.05755 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 402 -342 1152 3540 -1984 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.351 0.349 0.364 0.382 0.38 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 402 -342 1152 3540 -1984 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2009 -0.0355 0.0055 0.0703 -0.1465 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15.2 23.8 27.4 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.93257 2.36134 0.00338 0.0018 0.05624 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4155 2.1507 2.3617 0.0339 0.9661 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -8.26
## .. .. .. ..$ log.posterior.orig: num -3.9
## .. .. .. ..$ mean : num [1:86030] -0.00166 -0.00736 0.02782 0.03011 0.03133 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00114 -0.00432 0.02748 0.02978 0.03088 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 142 -120 403 1231 -689 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.438 0.439 0.482 0.44 0.435 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 142 -120 403 1231 -689 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2043 -0.03167 0.00702 0.07116 -0.14803 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 14.8 23.7 27.7 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.84598 2.60581 0.00114 -0.00432 0.02748 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.416 2.232 2.57 0.31 0.943 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -10.1
## .. .. .. ..$ log.posterior.orig: num -5.75
## .. .. .. ..$ mean : num [1:86030] 0.00107 -0.00265 0.08311 0.08748 0.08599 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.004083 0.000521 0.081983 0.08634 0.084742 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 194 -164 550 1689 -947 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.605 0.604 0.639 0.651 0.648 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 194 -164 550 1689 -947 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20559 -0.03506 0.00495 0.07107 -0.14939 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 15.1 23.8 27.6 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.36 4.08e-03 5.21e-04 8.20e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.418 1.9775 2.3996 0.0922 0.9176 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -14.4
## .. .. .. ..$ log.posterior.orig: num -10
## .. .. .. ..$ mean : num [1:86030] -0.00119 -0.0046 0.02804 0.02995 0.03027 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00113 -0.00209 0.02759 0.0295 0.02973 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 235 -199 666 2038 -1141 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.322 0.323 0.351 0.331 0.328 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 235 -199 666 2038 -1141 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20193 -0.03312 0.00606 0.07247 -0.1508 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 14.8 23.8 27.8 10.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.86759 2.52398 0.00113 -0.00209 0.02759 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.419 2.058 2.608 0.368 0.895 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -15.9
## .. .. .. ..$ log.posterior.orig: num -11.5
## .. .. .. ..$ mean : num [1:86030] 0.002239 0.000321 0.073485 0.077078 0.075181 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00475 0.00296 0.07234 0.07591 0.07394 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 308 -260 872 2678 -1501 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.468 0.467 0.49 0.515 0.514 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 308 -260 872 2678 -1501 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20301 -0.03622 0.00336 0.07095 -0.15021 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.8 15.1 23.9 27.8 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.96509 2.28211 0.00475 0.00296 0.07234 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4046 2.3999 2.3117 0.0152 0.9623 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -4.36
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:86030] -0.000749 -0.005221 0.021022 0.022751 0.023814 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00106 -0.00325 0.02082 0.02255 0.02354 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 177 -150 502 1533 -858 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.341 0.342 0.377 0.342 0.338 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 177 -150 502 1533 -858 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20815 -0.03057 0.00712 0.0691 -0.14496 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.4 14.8 23.7 27.6 10.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.84322 2.61421 0.00106 -0.00325 0.02082 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.406 2.481 2.52 0.291 0.94 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.71
## .. .. .. ..$ log.posterior.orig: num -3.35
## .. .. .. ..$ mean : num [1:86030] 0.00182 -0.00113 0.06416 0.06748 0.06649 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.003808 0.000976 0.063475 0.06679 0.065734 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 237 -201 672 2063 -1156 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.479 0.479 0.509 0.516 0.513 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 237 -201 672 2063 -1156 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20922 -0.0335 0.00481 0.0684 -0.14568 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.5 15.1 23.8 27.6 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 2.09e+01 2.36 3.81e-03 9.76e-04 6.35e-02 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4071 2.2267 2.3496 0.0735 0.9138 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.36
## .. .. .. ..$ log.posterior.orig: num -3
## .. .. .. ..$ mean : num [1:86030] -0.000676 -0.00332 0.020624 0.022041 0.02234 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000739 -0.0018 0.020372 0.021789 0.022031 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 317 -269 904 2766 -1548 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.233 0.234 0.253 0.238 0.236 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 317 -269 904 2766 -1548 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20675 -0.03281 0.00731 0.07255 -0.15024 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 14.9 23.7 27.6 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.850259 2.567887 0.000739 -0.0018 0.020372 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.408 2.308 2.558 0.35 0.891 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.42
## .. .. .. ..$ log.posterior.orig: num -5.06
## .. .. .. ..$ mean : num [1:86030] 0.00208 0.000552 0.05509 0.057775 0.056419 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00363 0.00218 0.0544 0.05708 0.05567 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 410 -347 1163 3573 -2002 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.344 0.343 0.36 0.377 0.376 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 410 -347 1163 3573 -2002 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20761 -0.03568 0.00432 0.0705 -0.14923 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 15.1 23.9 27.6 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.95056 2.31601 0.00363 0.00218 0.0544 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.442 2.309 2.228 0.103 0.988 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.35
## .. .. .. ..$ log.posterior.orig: num -2.99
## .. .. .. ..$ mean : num [1:86030] -0.000379 -0.00331 0.02127 0.022758 0.023178 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.000994 -0.001814 0.02103 0.022519 0.022882 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 279 -234 780 2386 -1336 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.254 0.257 0.282 0.264 0.261 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 279 -234 780 2386 -1336 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20232 -0.03091 0.00742 0.06987 -0.14446 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.6 14.9 23.6 27.5 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.821899 2.610511 0.000994 -0.001814 0.02103 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.443 2.39 2.436 0.38 0.965 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -10.3
## .. .. .. ..$ log.posterior.orig: num -5.99
## .. .. .. ..$ mean : num [1:86030] 0.002438 0.000716 0.057129 0.05995 0.058598 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00389 0.00225 0.05646 0.05927 0.05787 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 376 -316 1051 3227 -1809 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.359 0.361 0.383 0.399 0.397 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 376 -316 1051 3227 -1809 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2034 -0.0343 0.0051 0.0693 -0.1453 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 15.2 23.8 27.5 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.90668 2.37739 0.00389 0.00225 0.05646 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.445 2.136 2.266 0.162 0.939 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -11.3
## .. .. .. ..$ log.posterior.orig: num -6.95
## .. .. .. ..$ mean : num [1:86030] -0.000317 -0.002026 0.019631 0.020854 0.020778 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00074 -0.000891 0.019358 0.020577 0.020458 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 500 -421 1404 4300 -2408 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.174 0.175 0.19 0.183 0.182 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 500 -421 1404 4300 -2408 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.20094 -0.03345 0.00767 0.0736 -0.14991 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15 23.6 27.4 11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.830154 2.568332 0.00074 -0.000891 0.019358 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.446 2.217 2.474 0.438 0.916 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -13.1
## .. .. .. ..$ log.posterior.orig: num -8.74
## .. .. .. ..$ mean : num [1:86030] 0.00246 0.00162 0.04767 0.04991 0.04848 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00357 0.00279 0.04702 0.04924 0.04778 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 648 -546 1817 5584 -3130 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.258 0.259 0.271 0.291 0.29 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 648 -546 1817 5584 -3130 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2018 -0.03674 0.00467 0.07163 -0.14907 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.9 15.2 23.8 27.4 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.91954 2.33563 0.00357 0.00279 0.04702 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.4395 2.2435 2.4293 -0.0479 0.8993 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -7.7
## .. .. .. ..$ log.posterior.orig: num -3.34
## .. .. .. ..$ mean : num [1:86030] -0.00242 -0.01167 0.02917 0.03218 0.03456 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00102 -0.00788 0.02888 0.03191 0.03414 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 90.7 -76 253.5 773.3 -432.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.594 0.599 0.667 0.597 0.588 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542050] 90.6 -76 253.4 773.3 -432.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14535, 1:3] -0.2022 -0.03063 0.00866 0.07156 -0.14609 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14535, 1:2] 18.7 14.8 23.6 27.5 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86030, 1:2] 20.80345 2.72935 0.00102 -0.00788 0.02888 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:7] -4.441 2.324 2.637 0.228 0.877 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:7] "log precision for the student-t observations" "dof_intern for student-t" "Theta1 for field" "Theta2 for field" ...
## .. .. .. ..$ log.posterior : num -9.75
## .. .. .. ..$ log.posterior.orig: num -5.39
## .. .. .. ..$ mean : num [1:86030] -8.02e-05 -6.62e-03 1.01e-01 1.06e-01 1.05e-01 ...
## .. .. .. ..$ improved.mean : num [1:86030] 0.00365 -0.00264 0.09947 0.10513 0.10399 ...
## .. .. .. ..$ skewness : logi [1:86030] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 124 -104 347 1063 -596 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:656168] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:656168] 0.812 0.817 0.877 0.873 0.868 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542050] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86031] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86030 86030
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
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## .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. ..$ cgeneric_type : chr "general"
## .. .. ..$ theta.prior.mean : num [1:4] 3.21 -1.54 0 0
## .. .. ..$ prior.nu :List of 4
## .. .. .. ..$ loglocation: num -0.288
## .. .. .. ..$ mean : num 0.75
## .. .. .. ..$ prec : num 3
## .. .. .. ..$ logscale : num 1
## .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. ..$ start.nu : num 0.75
## .. .. ..$ integer.nu : logi FALSE
## .. .. ..$ start.theta : num [1:4] 3.21 -1.54 0 0
## .. .. ..$ stationary : logi FALSE
## .. .. ..$ rspde.order : num 2
## .. .. ..$ dim : num 1
## .. .. ..$ est_nu : logi TRUE
## .. .. ..$ nu.upper.bound : num 1.5
## .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. ..$ debug : logi FALSE
## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
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## .. .. .. ..$ output.name : chr "beta[1] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[1] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
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## .. .. ..$ theta2 :List of 11
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## .. .. .. ..$ short.name : chr "b2"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[2] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[2] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta3 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta3"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b3"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[3] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[3] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta4 :List of 11
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## .. .. .. ..$ name : chr "beta4"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b4"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[4] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[4] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta5 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta5"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b5"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[5] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[5] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta6 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta6"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b6"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[6] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[6] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta7 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta7"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b7"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[7] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[7] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta8 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta8"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b8"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta9 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta10 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta11 :List of 11
## .. .. .. ..$ hyperid : num 103011
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta12 :List of 11
## .. .. .. ..$ hyperid : num 103012
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta13 :List of 11
## .. .. .. ..$ hyperid : num 103013
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta14 :List of 11
## .. .. .. ..$ hyperid : num 103014
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta15 :List of 11
## .. .. .. ..$ hyperid : num 103015
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta16 :List of 11
## .. .. .. ..$ hyperid : num 103016
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta17 :List of 11
## .. .. .. ..$ hyperid : num 103017
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
## .. .. .. ..$ hyperid : num 103018
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta20 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta21 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta22 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta23 :List of 11
## .. .. .. ..$ hyperid : num 103023
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta24 :List of 11
## .. .. .. ..$ hyperid : num 103024
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta25 :List of 11
## .. .. .. ..$ hyperid : num 103025
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta26 :List of 11
## .. .. .. ..$ hyperid : num 103026
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta27 :List of 11
## .. .. .. ..$ hyperid : num 103027
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta28 :List of 11
## .. .. .. ..$ hyperid : num 103028
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta29 :List of 11
## .. .. .. ..$ hyperid : num 103029
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
## .. .. .. ..$ hyperid : num 103030
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
## .. .. .. ..$ hyperid : num 103031
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
## .. .. .. ..$ hyperid : num 103032
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
## .. .. .. ..$ hyperid : num 103033
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
## .. .. .. ..$ hyperid : num 103034
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
## .. .. .. ..$ hyperid : num 103035
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
## .. .. .. ..$ hyperid : num 103036
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta38 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta43 :List of 11
## .. .. .. ..$ hyperid : num 103043
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
## .. .. .. ..$ hyperid : num 103044
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta45 :List of 11
## .. .. .. ..$ hyperid : num 103045
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta46 :List of 11
## .. .. .. ..$ hyperid : num 103046
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta47 :List of 11
## .. .. .. ..$ hyperid : num 103047
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta48 :List of 11
## .. .. .. ..$ hyperid : num 103048
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta49 :List of 11
## .. .. .. ..$ hyperid : num 103049
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta50 :List of 11
## .. .. .. ..$ hyperid : num 103050
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta51 :List of 11
## .. .. .. ..$ hyperid : num 103051
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta52 :List of 11
## .. .. .. ..$ hyperid : num 103052
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta53 :List of 11
## .. .. .. ..$ hyperid : num 103053
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta54 :List of 11
## .. .. .. ..$ hyperid : num 103054
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta73 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta74 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta75 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta76 :List of 11
## .. .. .. ..$ hyperid : num 103076
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta77 :List of 11
## .. .. .. ..$ hyperid : num 103077
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta78 :List of 11
## .. .. .. ..$ hyperid : num 103078
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
## .. .. .. ..$ hyperid : num 103079
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
## .. .. .. ..$ hyperid : num 103080
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta81 :List of 11
## .. .. .. ..$ hyperid : num 103081
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta82 :List of 11
## .. .. .. ..$ hyperid : num 103082
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta83 :List of 11
## .. .. .. ..$ hyperid : num 103083
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta84 :List of 11
## .. .. .. ..$ hyperid : num 103084
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta85 :List of 11
## .. .. .. ..$ hyperid : num 103085
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta86 :List of 11
## .. .. .. ..$ hyperid : num 103086
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta87 :List of 11
## .. .. .. ..$ hyperid : num 103087
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta88 :List of 11
## .. .. .. ..$ hyperid : num 103088
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta89 :List of 11
## .. .. .. ..$ hyperid : num 103089
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "Intercept.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x654e66899478>
## .. .. .. ..$ fcall : language "f"(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ SpeedLimit:List of 12
## .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol SpeedLimit
## .. .. .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper : list()
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "linear"
## .. .. .. .. ..$ type : chr "linear"
## .. .. .. .. ..$ n : int 1
## .. .. .. .. ..$ values : num 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x654e66875e98>
## .. .. .. ..$ fcall : language "f"(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ field :List of 12
## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol loc
## .. .. .. .. .. ..$ label : chr "field"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 6
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. ..$ rspde_order: int 2
## .. .. .. .. .. .. .. .. .. .. ..$ matern_par : int 1
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 9
## .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 20
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 6
## .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..$ rspde_order: int 2
## .. .. .. .. .. .. .. .. .. ..$ matern_par : int 1
## .. .. .. .. .. .. .. .. ..$ doubles :List of 9
## .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. ..$ start.theta : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 21507
## .. .. .. .. ..$ values : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_nonstat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x654e668578c0>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 6
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rspde_order: int 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matern_par : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 9
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.4/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 3.21 -1.54 0 0
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
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## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
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## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
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## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 86028
## .. .. .. .. .. .. ..$ n_inla : num 86028
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
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## .. .. .. .. ..$ n_multi : Named int [1:2] 86028 NA
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## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
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## ..$ lhoods :List of 1
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## .. .. ..$ family : chr "T"
## .. .. ..$ formula :Class 'formula' language speed ~ .
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## .. .. .. ..$ SpeedLimit : num [1:14535] -0.101 -0.617 -0.617 -0.617 -0.927 ...
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## .. .. ..$ E : num 1
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## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
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## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "T"
## .. .. ..$ domain : NULL
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## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
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## .. .. ..$ allow_combine : logi TRUE
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## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
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## .. ..$ bru_verbose_store: num Inf
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## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
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## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
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## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
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## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9004"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.04.25-1"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"nonstat.time.fin <- Sys.time()
print(nonstat.time.fin - nonstat.time.ini)## Time difference of 44.8119 minssummary(rspde_fit_nonstat)## inlabru version: 2.10.1.9004
## INLA version: 24.04.25-1
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_nonstat[["repl"]])
## Likelihoods:
## Family: 'T'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.192, Running = 2602, Post = 8.97, Total = 2612
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 20.845 0.486 19.894 20.843 21.804 20.843 0
## SpeedLimit 2.600 0.209 2.182 2.602 3.003 2.602 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## precision for the student-t observations 0.012 0.000 0.012 0.012
## degrees of freedom for student-t 13.454 1.365 11.185 13.318
## Theta1 for field 2.277 0.115 2.033 2.283
## Theta2 for field -0.032 0.137 -0.323 -0.024
## Theta3 for field 0.969 0.039 0.897 0.968
## Theta4 for field 0.817 0.029 0.762 0.816
## Theta5 for field 1.431 0.161 1.146 1.422
## 0.975quant mode
## precision for the student-t observations 0.013 0.012
## degrees of freedom for student-t 16.536 12.922
## Theta1 for field 2.486 2.309
## Theta2 for field 0.213 0.011
## Theta3 for field 1.048 0.963
## Theta4 for field 0.876 0.813
## Theta5 for field 1.775 1.378
##
## Deviance Information Criterion (DIC) ...............: 108041.46
## Deviance Information Criterion (DIC, saturated) ....: -88029.28
## Effective number of parameters .....................: 2902.47
##
## Watanabe-Akaike information criterion (WAIC) ...: 108133.65
## Effective number of parameters .................: 2605.18
##
## Marginal log-Likelihood: -55582.63
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')summary(rspde.result(rspde_fit_nonstat, "field", rspde_model_nonstat))## mean sd 0.025quant 0.5quant 0.975quant mode
## Theta1.matern 2.2771200 0.1154600 2.033470 2.2825700 2.486350 2.3088000
## Theta2.matern -0.0317713 0.1369050 -0.323199 -0.0244373 0.212972 0.0113687
## Theta3.matern 0.9692420 0.0385127 0.896941 0.9681150 1.048490 0.9629350
## Theta4.matern 0.8166780 0.0290188 0.761537 0.8160250 0.875779 0.8131030
## nu 1.2087700 0.0368158 1.138710 1.2078300 1.281920 1.20160001.3 Crossvalidation 1
#load(here("Models_output/distmatrixfixed.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 400, by = 20)/1000The code of chunk below was executed only one time.
{r}
load(here("Models_output/distmatrixfixed30_04_2024.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 400, by = 20)/1000
GROUPS <- list()
for (j in 1:length(distance)) {
print(j)
GROUPS[[j]] = list()
for (i in 1:nrow(points)) {
rowi = points[i, ]
GROUPS[[j]][[i]] <- which(as.vector(distmatrixlist[[rowi$.group]][rowi$indexingroup,]) <= distance[j])
}
}
save(GROUPS, file = here("Models_output/GROUPS_for_window_case30_04_2024.RData"))The code of chunk above was executed only one time.
load(here("Models_output/GROUPS_for_window_case30_04_2024.RData"))
mse.stat <- mse.nonstat <- ls.stat <- ls.nonstat <- rep(0,length(distance))
# cross-validation for-loop
for (j in 1:length(distance)) {
print(j)
# cross-validation of the stationary model
cv.stat <- inla.group.cv(rspde_fit_stat, groups = GROUPS[[j]])
# cross-validation of the nonstationary model
cv.nonstat <- inla.group.cv(rspde_fit_nonstat, groups = GROUPS[[j]])
# obtain MSE and LS
mse.stat[j] <- mean((cv.stat$mean - points$speed)^2)
mse.nonstat[j] <- mean((cv.nonstat$mean - points$speed)^2)
ls.stat[j] <- mean(log(cv.stat$cv))
ls.nonstat[j] <- mean(log(cv.nonstat$cv))
}
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## [1] 20
## [1] 21## plot results
par(mfrow = c(2,2), family = "Palatino")
# Plot MSE
plot(distance, mse.stat, main = "MSE", ylim = c(min(mse.nonstat, mse.stat), max(mse.nonstat, mse.stat)),
type = "l", ylab = "MSE", xlab = "distance in m", col = "black")
lines(distance, mse.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
## plot results
par(mfrow = c(2,2), family = "Palatino")
# Plot log-score
plot(distance, -ls.stat, main = "log-score", ylim = c(min(-ls.nonstat, -ls.stat), max(-ls.nonstat, -ls.stat)),
type = "l", ylab = "log-score", xlab = "distance in m", col = "black")
## Error in plot.window(...): need finite 'ylim' values
lines(distance, -ls.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
save.image(here(paste0("Models_output/", rmarkdown::metadata$title, ".RData")))